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    <title>Life Sciences DNA Podcast</title>
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    <link>https://LSDNA.podbean.com</link>
    <description>The Life Sciences D’n’A podcast is hosted by AI and data analytics experts and pharma industry veterans Nagaraja Srivatsan and Amar Drawid. They explore the evolving use of AI and data science with innovators working to reshape all aspects of the biopharmaceutical industry from the way new therapeutics are discovered to how they are marketed.</description>
    <pubDate>Thu, 09 Apr 2026 00:00:00 -0700</pubDate>
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    <language>en</language>
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    <copyright>Copyright 2026 All rights reserved.</copyright>
    <category>Science:Life Sciences</category>
    <ttl>1440</ttl>
    <itunes:type>episodic</itunes:type>
          <itunes:summary>The Life Sciences D’n’A podcast is hosted by Dr. Amar Drawid, an industry veteran who has worked in data science leadership with top biopharmaceutical companies. He explores the evolving use of AI and data science with innovators working to reshape all aspects of the biopharmaceutical industry from the way new therapeutics are discovered to how they are marketed.</itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
	<itunes:category text="Science">
		<itunes:category text="Life Sciences" />
	</itunes:category>
<itunes:category text="Business" />
    <itunes:owner>
        <itunes:name>Levine Media Group</itunes:name>
            </itunes:owner>
    	<itunes:block>No</itunes:block>
	<itunes:explicit>false</itunes:explicit>
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        <title>Life Sciences DNA Podcast</title>
        <link>https://LSDNA.podbean.com</link>
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    <item>
        <title>Finding ROI from AI in the Mundane</title>
        <itunes:title>Finding ROI from AI in the Mundane</itunes:title>
        <link>https://LSDNA.podbean.com/e/finding-roi-from-ai-in-the-mundane/</link>
                    <comments>https://LSDNA.podbean.com/e/finding-roi-from-ai-in-the-mundane/#comments</comments>        <pubDate>Thu, 09 Apr 2026 00:00:00 -0700</pubDate>
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                                    <description><![CDATA[<p>Dennis Salotti, executive director and head of clinical outsourcing and innovation at Jazz Pharmaceuticals, joins Srivatsan Nagaraja to talk about what AI really looks like in day-to-inside a drug company. He explains how large language models and agentic tools can streamline contracting, budgeting, and risk management—mundane but high-impact work that speeds studies and improves trial-site experience. Salotti shares how to design narrow, high‑ROI pilots, build AI fluency, avoid “AI slop,” and turn AI into a thinking partner rather than a shortcut, stacking small wins that remove grunt work, capture lessons learned, and elevate people from doers to critical thinkers.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Dennis Salotti, executive director and head of clinical outsourcing and innovation at Jazz Pharmaceuticals, joins Srivatsan Nagaraja to talk about what AI really looks like in day-to-inside a drug company. He explains how large language models and agentic tools can streamline contracting, budgeting, and risk management—mundane but high-impact work that speeds studies and improves trial-site experience. Salotti shares how to design narrow, high‑ROI pilots, build AI fluency, avoid “AI slop,” and turn AI into a thinking partner rather than a shortcut, stacking small wins that remove grunt work, capture lessons learned, and elevate people from doers to critical thinkers.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/j3sx5bymv9czvmes/03192026_Dennis_Salotti_1_6yi5j.mp3" length="89259476" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Dennis Salotti, executive director and head of clinical outsourcing and innovation at Jazz Pharmaceuticals, joins Srivatsan Nagaraja to talk about what AI really looks like in day-to-inside a drug company. He explains how large language models and agentic tools can streamline contracting, budgeting, and risk management—mundane but high-impact work that speeds studies and improves trial-site experience. Salotti shares how to design narrow, high‑ROI pilots, build AI fluency, avoid “AI slop,” and turn AI into a thinking partner rather than a shortcut, stacking small wins that remove grunt work, capture lessons learned, and elevate people from doers to critical thinkers.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2778</itunes:duration>
                <itunes:episode>48</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>A Pragmatic Path to AI-Enabled Commercial Operations</title>
        <itunes:title>A Pragmatic Path to AI-Enabled Commercial Operations</itunes:title>
        <link>https://LSDNA.podbean.com/e/a-pragmatic-path-to-ai-enabled-commercial-operations/</link>
                    <comments>https://LSDNA.podbean.com/e/a-pragmatic-path-to-ai-enabled-commercial-operations/#comments</comments>        <pubDate>Thu, 26 Mar 2026 00:00:00 -0700</pubDate>
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                                    <description><![CDATA[<p>Tris Pharma Chief Commercial Officer Manesh Naidu sits down with Nagaraja Srivatsan to discuss how the small but growing specialty pharma company is pursuing a deliberately incremental AI strategy, focusing on its biggest pain points rather than chasing grand, enterprise-wide transformations. He explains how the team is using off-the-shelf and vendor tools where possible, rigorously managing data and compliance risk, and letting quick wins in discrete use cases pave the way for broader change. Naidu discusses what practical AI adoption looks like for Tris, how the company is applying the technology to high-value commercial challenges, and how it is reinventing sales training through virtual physician simulations.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Tris Pharma Chief Commercial Officer Manesh Naidu sits down with Nagaraja Srivatsan to discuss how the small but growing specialty pharma company is pursuing a deliberately incremental AI strategy, focusing on its biggest pain points rather than chasing grand, enterprise-wide transformations. He explains how the team is using off-the-shelf and vendor tools where possible, rigorously managing data and compliance risk, and letting quick wins in discrete use cases pave the way for broader change. Naidu discusses what practical AI adoption looks like for Tris, how the company is applying the technology to high-value commercial challenges, and how it is reinventing sales training through virtual physician simulations.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/xa3869icvmsfjudd/03112026_Manesh_Naidu_Edit_2_76r16.mp3" length="70820006" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Tris Pharma Chief Commercial Officer Manesh Naidu sits down with Nagaraja Srivatsan to discuss how the small but growing specialty pharma company is pursuing a deliberately incremental AI strategy, focusing on its biggest pain points rather than chasing grand, enterprise-wide transformations. He explains how the team is using off-the-shelf and vendor tools where possible, rigorously managing data and compliance risk, and letting quick wins in discrete use cases pave the way for broader change. Naidu discusses what practical AI adoption looks like for Tris, how the company is applying the technology to high-value commercial challenges, and how it is reinventing sales training through virtual physician simulations.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2201</itunes:duration>
                <itunes:episode>47</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Reimagining Scientific Work in the Age of AI Agents</title>
        <itunes:title>Reimagining Scientific Work in the Age of AI Agents</itunes:title>
        <link>https://LSDNA.podbean.com/e/reimagining-scientific-work-in-the-age-of-ai-agents/</link>
                    <comments>https://LSDNA.podbean.com/e/reimagining-scientific-work-in-the-age-of-ai-agents/#comments</comments>        <pubDate>Thu, 12 Mar 2026 11:32:11 -0700</pubDate>
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                                    <description><![CDATA[<p>Shweta Maniar, global strategy and market leader for life sciences at Google Cloud, sits down with Nagaraja Srivatsan to unpack what it takes to turn AI pilots into durable, enterprise-wide impact. A former biotech executive who now helps biopharma leaders modernize their data and AI strategy, Shweta argues that success starts with fixing fragmented data foundations and reshaping culture—not just deploying the latest model. She explains why AI should be treated as a strategic upgrade to de-risk science rather than a narrow tool for squeezing efficiency, why the hardest problems are less about model performance and more about data and organizational behavior, and how emerging multi-agent systems could compress timelines from discovery to patient access. You can download The ROI of AI in Healthcare and Life Sciences report referenced in the discussion here: <a href='https://cloud.google.com/resources/content/roi-of-ai-healthcare-life-sciences'>https://cloud.google.com/resources/content/roi-of-ai-healthcare-life-sciences</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Shweta Maniar, global strategy and market leader for life sciences at Google Cloud, sits down with Nagaraja Srivatsan to unpack what it takes to turn AI pilots into durable, enterprise-wide impact. A former biotech executive who now helps biopharma leaders modernize their data and AI strategy, Shweta argues that success starts with fixing fragmented data foundations and reshaping culture—not just deploying the latest model. She explains why AI should be treated as a strategic upgrade to de-risk science rather than a narrow tool for squeezing efficiency, why the hardest problems are less about model performance and more about data and organizational behavior, and how emerging multi-agent systems could compress timelines from discovery to patient access. You can download The ROI of AI in Healthcare and Life Sciences report referenced in the discussion here: <a href='https://cloud.google.com/resources/content/roi-of-ai-healthcare-life-sciences'>https://cloud.google.com/resources/content/roi-of-ai-healthcare-life-sciences</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/bjnxad9cwf4q2ipe/03102026_Shweta_Maniar_Edit80f13.mp3" length="91475206" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Shweta Maniar, global strategy and market leader for life sciences at Google Cloud, sits down with Nagaraja Srivatsan to unpack what it takes to turn AI pilots into durable, enterprise-wide impact. A former biotech executive who now helps biopharma leaders modernize their data and AI strategy, Shweta argues that success starts with fixing fragmented data foundations and reshaping culture—not just deploying the latest model. She explains why AI should be treated as a strategic upgrade to de-risk science rather than a narrow tool for squeezing efficiency, why the hardest problems are less about model performance and more about data and organizational behavior, and how emerging multi-agent systems could compress timelines from discovery to patient access. You can download The ROI of AI in Healthcare and Life Sciences report referenced in the discussion here: https://cloud.google.com/resources/content/roi-of-ai-healthcare-life-sciences]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2848</itunes:duration>
                <itunes:episode>46</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Orchestrating Scientists, Data, and AI to Discover New Drugs</title>
        <itunes:title>Orchestrating Scientists, Data, and AI to Discover New Drugs</itunes:title>
        <link>https://LSDNA.podbean.com/e/orchestrating-scientists-data-and-ai-to-discover-new-drugs/</link>
                    <comments>https://LSDNA.podbean.com/e/orchestrating-scientists-data-and-ai-to-discover-new-drugs/#comments</comments>        <pubDate>Thu, 26 Feb 2026 00:00:00 -0800</pubDate>
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                                    <description><![CDATA[<p>Scotch McClure had a bold plan for Maxwell Biosciences to map and mine the roughly 3 percent of peptides circulating in human plasma. The company has harnessed AI to move from a massive and messy universe of human peptides to a small-molecule candidate that could offer a potential alternative to antibiotics, antifungals, and some antivirals. McClure, CEO of Maxwell, sat down with Nagaraja Srivatsan to discuss why he thinks AI is becoming the central engine that makes modern drug development not just faster but possible at all, how he sees AI as essential to filtering out the noise in vast datasets, and why organizations will need to surrender more of the scientific process to AI while constraining it with a clear vision and guardrails.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Scotch McClure had a bold plan for Maxwell Biosciences to map and mine the roughly 3 percent of peptides circulating in human plasma. The company has harnessed AI to move from a massive and messy universe of human peptides to a small-molecule candidate that could offer a potential alternative to antibiotics, antifungals, and some antivirals. McClure, CEO of Maxwell, sat down with Nagaraja Srivatsan to discuss why he thinks AI is becoming the central engine that makes modern drug development not just faster but possible at all, how he sees AI as essential to filtering out the noise in vast datasets, and why organizations will need to surrender more of the scientific process to AI while constraining it with a clear vision and guardrails.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/vshjmqi5wgcpseez/01262026_Scotch_McClure_1_7ydz8.mp3" length="89012037" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Scotch McClure had a bold plan for Maxwell Biosciences to map and mine the roughly 3 percent of peptides circulating in human plasma. The company has harnessed AI to move from a massive and messy universe of human peptides to a small-molecule candidate that could offer a potential alternative to antibiotics, antifungals, and some antivirals. McClure, CEO of Maxwell, sat down with Nagaraja Srivatsan to discuss why he thinks AI is becoming the central engine that makes modern drug development not just faster but possible at all, how he sees AI as essential to filtering out the noise in vast datasets, and why organizations will need to surrender more of the scientific process to AI while constraining it with a clear vision and guardrails.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2771</itunes:duration>
                <itunes:episode>45</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Scaling Practical AI Across Commercial Teams</title>
        <itunes:title>Scaling Practical AI Across Commercial Teams</itunes:title>
        <link>https://LSDNA.podbean.com/e/scaling-practical-ai-across-commercial-teams/</link>
                    <comments>https://LSDNA.podbean.com/e/scaling-practical-ai-across-commercial-teams/#comments</comments>        <pubDate>Thu, 12 Feb 2026 00:00:00 -0800</pubDate>
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                                    <description><![CDATA[<p>Drew McCormick, head of data and analytics at Eversana, sits down with Nagaraja Srivatsan to trace the company’s AI journey from classic predictive modeling in its data and analytics business to an enterprise-wide strategy. He describes how Eversana is building on a strong data foundation to tackle challenges such as patient identification, while also rethinking workflows, governance, and talent to ensure AI delivers value in a highly regulated environment.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Drew McCormick, head of data and analytics at Eversana, sits down with Nagaraja Srivatsan to trace the company’s AI journey from classic predictive modeling in its data and analytics business to an enterprise-wide strategy. He describes how Eversana is building on a strong data foundation to tackle challenges such as patient identification, while also rethinking workflows, governance, and talent to ensure AI delivers value in a highly regulated environment.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/mxik4bhgn6m79mrr/120525_Drew_McCormick_Edit8lu1e.mp3" length="94397750" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Drew McCormick, head of data and analytics at Eversana, sits down with Nagaraja Srivatsan to trace the company’s AI journey from classic predictive modeling in its data and analytics business to an enterprise-wide strategy. He describes how Eversana is building on a strong data foundation to tackle challenges such as patient identification, while also rethinking workflows, governance, and talent to ensure AI delivers value in a highly regulated environment.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2935</itunes:duration>
                <itunes:episode>44</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Building an AI-Ready Biopharma Organization</title>
        <itunes:title>Building an AI-Ready Biopharma Organization</itunes:title>
        <link>https://LSDNA.podbean.com/e/building-an-ai-ready-biopharma-organization/</link>
                    <comments>https://LSDNA.podbean.com/e/building-an-ai-ready-biopharma-organization/#comments</comments>        <pubDate>Thu, 08 Jan 2026 00:00:00 -0800</pubDate>
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                                    <description><![CDATA[<p>Scott Cenci, chief information and data officer for Acadia Pharmaceuticals, sits down with Nagaraja Srivatsan to discuss how generative and agentic AI are reshaping biopharma throughout the enterprise from R&amp;D and clinical development to the commercial field. He discusses how it is changing the roles of people like medical writers into medical editors, why every knowledge worker will soon manage AI agents as part of their job; and the hard problems leaders face in prioritizing AI investments, avoiding experiment fatigue, governing enterprise data, and building a culture of continuous learning.​</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Scott Cenci, chief information and data officer for Acadia Pharmaceuticals, sits down with Nagaraja Srivatsan to discuss how generative and agentic AI are reshaping biopharma throughout the enterprise from R&amp;D and clinical development to the commercial field. He discusses how it is changing the roles of people like medical writers into medical editors, why every knowledge worker will soon manage AI agents as part of their job; and the hard problems leaders face in prioritizing AI investments, avoiding experiment fatigue, governing enterprise data, and building a culture of continuous learning.​</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/wvfvqgbezmvjw4xv/121725_Scott_Cenci_Editauwdm.mp3" length="105802000" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Scott Cenci, chief information and data officer for Acadia Pharmaceuticals, sits down with Nagaraja Srivatsan to discuss how generative and agentic AI are reshaping biopharma throughout the enterprise from R&amp;D and clinical development to the commercial field. He discusses how it is changing the roles of people like medical writers into medical editors, why every knowledge worker will soon manage AI agents as part of their job; and the hard problems leaders face in prioritizing AI investments, avoiding experiment fatigue, governing enterprise data, and building a culture of continuous learning.​]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3291</itunes:duration>
                <itunes:episode>42</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Automating Biopharma Workflows with AI and Robotics</title>
        <itunes:title>Automating Biopharma Workflows with AI and Robotics</itunes:title>
        <link>https://LSDNA.podbean.com/e/automating-biopharma-workflows-with-ai-and-robotics/</link>
                    <comments>https://LSDNA.podbean.com/e/automating-biopharma-workflows-with-ai-and-robotics/#comments</comments>        <pubDate>Wed, 24 Dec 2025 00:00:00 -0800</pubDate>
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                                    <description><![CDATA[<p>Karthik Raman, co-founder and CEO of Persist AI, sits down with the Nagaraja Srivatsan to discuss how robotics, AI, and cloud tech are supercharging drug formulation to address a bottleneck in pharma R&amp;D. He explains how robots outperform humans in consistency and scale, igniting a flywheel of faster prototyping, richer data, and AI-orchestrated workflows that will propel biopharma innovation amid rising drug complexity.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Karthik Raman, co-founder and CEO of Persist AI, sits down with the Nagaraja Srivatsan to discuss how robotics, AI, and cloud tech are supercharging drug formulation to address a bottleneck in pharma R&amp;D. He explains how robots outperform humans in consistency and scale, igniting a flywheel of faster prototyping, richer data, and AI-orchestrated workflows that will propel biopharma innovation amid rising drug complexity.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/e3siwypmcudbm44z/111025_Karthik_Raman_1_9v0om.mp3" length="73035541" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Karthik Raman, co-founder and CEO of Persist AI, sits down with the Nagaraja Srivatsan to discuss how robotics, AI, and cloud tech are supercharging drug formulation to address a bottleneck in pharma R&amp;D. He explains how robots outperform humans in consistency and scale, igniting a flywheel of faster prototyping, richer data, and AI-orchestrated workflows that will propel biopharma innovation amid rising drug complexity.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2268</itunes:duration>
                <itunes:episode>41</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>De-Risking Discovery and Improving the Success Rates of Drug Development with AI</title>
        <itunes:title>De-Risking Discovery and Improving the Success Rates of Drug Development with AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/de-risking-discovery-and-improving-the-success-rates-of-drug-development-with-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/de-risking-discovery-and-improving-the-success-rates-of-drug-development-with-ai/#comments</comments>        <pubDate>Thu, 11 Dec 2025 00:00:00 -0800</pubDate>
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                                    <description><![CDATA[<p>Gabi Tarcic, vice president of product for Evogene, sits down with Srivatsan Nagaraja about applying AI to small molecule drug discovery, the cultural and operational changes required for researchers to adopt these tools, and how AI-driven platforms can improve the efficiency of pharma R&amp;D.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Gabi Tarcic, vice president of product for Evogene, sits down with Srivatsan Nagaraja about applying AI to small molecule drug discovery, the cultural and operational changes required for researchers to adopt these tools, and how AI-driven platforms can improve the efficiency of pharma R&amp;D.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/c84r956bfgz9uuba/110325_Gabi_Tarcicbf18n.mp3" length="81228882" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Gabi Tarcic, vice president of product for Evogene, sits down with Srivatsan Nagaraja about applying AI to small molecule drug discovery, the cultural and operational changes required for researchers to adopt these tools, and how AI-driven platforms can improve the efficiency of pharma R&amp;D.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2523</itunes:duration>
                <itunes:episode>40</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Agents of Change: Creating Regulatory Documents with AI</title>
        <itunes:title>Agents of Change: Creating Regulatory Documents with AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/agents-of-change-creating-regulatory-documents-with-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/agents-of-change-creating-regulatory-documents-with-ai/#comments</comments>        <pubDate>Wed, 26 Nov 2025 00:00:00 -0800</pubDate>
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                                    <description><![CDATA[<p>Anita Modi, CEO and founder of Peer AI, joins Srivatsan Nagaraja to discuss the transformative impact of agentic AI on document creation for pharmaceutical companies. She discusses the cultural challenges of integrating AI into a traditionally cautious industry, the need for change management, and why it’s critical to embed human judgment alongside machine intelligence.​</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Anita Modi, CEO and founder of Peer AI, joins Srivatsan Nagaraja to discuss the transformative impact of agentic AI on document creation for pharmaceutical companies. She discusses the cultural challenges of integrating AI into a traditionally cautious industry, the need for change management, and why it’s critical to embed human judgment alongside machine intelligence.​</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/92u2stsg67ugd667/102700_Anita_Modi68pyc.mp3" length="80502824" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Anita Modi, CEO and founder of Peer AI, joins Srivatsan Nagaraja to discuss the transformative impact of agentic AI on document creation for pharmaceutical companies. She discusses the cultural challenges of integrating AI into a traditionally cautious industry, the need for change management, and why it’s critical to embed human judgment alongside machine intelligence.​]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2501</itunes:duration>
                <itunes:episode>39</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Redefining Biomarkers for Immune-Mediated Disease with AI</title>
        <itunes:title>Redefining Biomarkers for Immune-Mediated Disease with AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/redefining-biomarkers-for-immune-mediated-disease-with-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/redefining-biomarkers-for-immune-mediated-disease-with-ai/#comments</comments>        <pubDate>Thu, 13 Nov 2025 00:00:00 -0800</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/fadaa6bb-9448-3372-a537-4cae71d9b01a</guid>
                                    <description><![CDATA[<p>Ronel Veksler, co-founder and CEO of PromiseBio, sits down with Amar Drawid to discuss the company’s AI-enabled proteomics platform, and how post-translational modifications of proteins represent a new frontier for precision medicine in autoimmune diseases; and how AI is enabling deep profiling of the epiproteome for better disease subtyping, improved prediction of drug response, and more personalized therapeutic strategies.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Ronel Veksler, co-founder and CEO of PromiseBio, sits down with Amar Drawid to discuss the company’s AI-enabled proteomics platform, and how post-translational modifications of proteins represent a new frontier for precision medicine in autoimmune diseases; and how AI is enabling deep profiling of the epiproteome for better disease subtyping, improved prediction of drug response, and more personalized therapeutic strategies.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/akiuekpcsyi36jhx/101525_Ronel_Veksler8tapv.mp3" length="61205" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Ronel Veksler, co-founder and CEO of PromiseBio, sits down with Amar Drawid to discuss the company’s AI-enabled proteomics platform, and how post-translational modifications of proteins represent a new frontier for precision medicine in autoimmune diseases; and how AI is enabling deep profiling of the epiproteome for better disease subtyping, improved prediction of drug response, and more personalized therapeutic strategies.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1</itunes:duration>
                <itunes:episode>38</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Driving Insights from Real World Oncology Data with AI</title>
        <itunes:title>Driving Insights from Real World Oncology Data with AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/driving-insights-from-real-world-oncology-data-with-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/driving-insights-from-real-world-oncology-data-with-ai/#comments</comments>        <pubDate>Thu, 23 Oct 2025 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/a7a276f3-b3b9-36b0-95c6-3e5a0e1cfe48</guid>
                                    <description><![CDATA[<p>Aaron Cohen, Head of Research Oncology, Clinical Data for Flatiron Health, sits down with Amar Drawid to discuss Flatiron’s use of large language models to extract and analyze unstructured data from electronic health records. Cohen discusses how AI‑extracted data can replicate human‑curated outcomes across multiple cancer types, paving the way for faster, richer insights to guide both clinical decision‑making and drug development.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Aaron Cohen, Head of Research Oncology, Clinical Data for Flatiron Health, sits down with Amar Drawid to discuss Flatiron’s use of large language models to extract and analyze unstructured data from electronic health records. Cohen discusses how AI‑extracted data can replicate human‑curated outcomes across multiple cancer types, paving the way for faster, richer insights to guide both clinical decision‑making and drug development.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/ttu5b4dif83h32r2/091125_Aaron_Cohen_Edit97f3s.mp3" length="7302140" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Aaron Cohen, Head of Research Oncology, Clinical Data for Flatiron Health, sits down with Amar Drawid to discuss Flatiron’s use of large language models to extract and analyze unstructured data from electronic health records. Cohen discusses how AI‑extracted data can replicate human‑curated outcomes across multiple cancer types, paving the way for faster, richer insights to guide both clinical decision‑making and drug development.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>225</itunes:duration>
                <itunes:episode>37</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Improving Drug Development with Real-World Data</title>
        <itunes:title>Improving Drug Development with Real-World Data</itunes:title>
        <link>https://LSDNA.podbean.com/e/improving-drug-development-with-real-world-data/</link>
                    <comments>https://LSDNA.podbean.com/e/improving-drug-development-with-real-world-data/#comments</comments>        <pubDate>Thu, 09 Oct 2025 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/b90835d5-356e-35f5-8a92-592a0e1c838a</guid>
                                    <description><![CDATA[<p>Manfred Stapff, founder and principal of Candid Advisory, sits down with Amar Drawid to discuss the potential of real-world data to accelerate drug development and improve regulatory strategies. He discusses why real-world data can provide insights may miss, shed light on treatment effects once approved, and how it may one day reshape the drug approval process.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Manfred Stapff, founder and principal of Candid Advisory, sits down with Amar Drawid to discuss the potential of real-world data to accelerate drug development and improve regulatory strategies. He discusses why real-world data can provide insights may miss, shed light on treatment effects once approved, and how it may one day reshape the drug approval process.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/8ms5kgd7bh47k4kn/081825_Manfred_Stapffbcq9z.mp3" length="117131521" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Manfred Stapff, founder and principal of Candid Advisory, sits down with Amar Drawid to discuss the potential of real-world data to accelerate drug development and improve regulatory strategies. He discusses why real-world data can provide insights may miss, shed light on treatment effects once approved, and how it may one day reshape the drug approval process.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3644</itunes:duration>
                <itunes:episode>36</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Navigating the AI Landscape in Clinical Development</title>
        <itunes:title>Navigating the AI Landscape in Clinical Development</itunes:title>
        <link>https://LSDNA.podbean.com/e/navigating-the-ai-landscape-in-clinical-development/</link>
                    <comments>https://LSDNA.podbean.com/e/navigating-the-ai-landscape-in-clinical-development/#comments</comments>        <pubDate>Thu, 25 Sep 2025 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/3685778f-bd83-304c-83fe-562ac6818af7</guid>
                                    <description><![CDATA[<p>Stephen Pyke, chief clinical data and digital officer at Parexel, sits down with Srivatsan Nagaraja to discuss the adoption of AI technologies in clinical development. He highlights the importance of workflow integration, the challenges of change management, and how to prepare organizations for an AI-driven future.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Stephen Pyke, chief clinical data and digital officer at Parexel, sits down with Srivatsan Nagaraja to discuss the adoption of AI technologies in clinical development. He highlights the importance of workflow integration, the challenges of change management, and how to prepare organizations for an AI-driven future.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/bt2rd9remny28yrx/082225_Stephen_Pyke9rbxw.mp3" length="91868322" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Stephen Pyke, chief clinical data and digital officer at Parexel, sits down with Srivatsan Nagaraja to discuss the adoption of AI technologies in clinical development. He highlights the importance of workflow integration, the challenges of change management, and how to prepare organizations for an AI-driven future.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2856</itunes:duration>
                <itunes:episode>35</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Transforming Cancer Diagnostics and Care with AI</title>
        <itunes:title>Transforming Cancer Diagnostics and Care with AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/transforming-cancer-diagnostics-and-care-with-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/transforming-cancer-diagnostics-and-care-with-ai/#comments</comments>        <pubDate>Thu, 11 Sep 2025 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/a12fb6a7-d658-3fe1-b3b1-1e680e9e3375</guid>
                                    <description><![CDATA[<p>Mohan Uttarwar, CEO 1Cell.Ai, sits down with Amar Drawid to discuss how his company is transforming cancer diagnostics and care by combining cutting-edge molecular science with advanced AI. He talks about how the company’s single-cell multi-omics platform provides real-time, precision insights, enhances patient selection in clinical trials, and delivers actionable information for oncologists.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Mohan Uttarwar, CEO 1Cell.Ai, sits down with Amar Drawid to discuss how his company is transforming cancer diagnostics and care by combining cutting-edge molecular science with advanced AI. He talks about how the company’s single-cell multi-omics platform provides real-time, precision insights, enhances patient selection in clinical trials, and delivers actionable information for oncologists.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/vv877rzgzq638xas/081325_Mohan_Uttarwar_Edit_V276f2s.mp3" length="114654818" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Mohan Uttarwar, CEO 1Cell.Ai, sits down with Amar Drawid to discuss how his company is transforming cancer diagnostics and care by combining cutting-edge molecular science with advanced AI. He talks about how the company’s single-cell multi-omics platform provides real-time, precision insights, enhances patient selection in clinical trials, and delivers actionable information for oncologists.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3568</itunes:duration>
                <itunes:episode>34</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Moving Beyond the Hype of AI in Biopharma</title>
        <itunes:title>Moving Beyond the Hype of AI in Biopharma</itunes:title>
        <link>https://LSDNA.podbean.com/e/moving-beyond-the-hype-of-ai-in-biopharma/</link>
                    <comments>https://LSDNA.podbean.com/e/moving-beyond-the-hype-of-ai-in-biopharma/#comments</comments>        <pubDate>Thu, 28 Aug 2025 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/e0f4f27b-9c19-3eff-b2c4-1bd9275a5112</guid>
                                    <description><![CDATA[<p>Amar Drawid, vice president and global head of data analytics, insights, and AI for BioNTech, sits down with Nagaraja Srivatsan to discuss the evolution, adoption, and challenges of AI in the biopharma sector. He discusses the real-world implementation challenges of generative AI, the iterative process of developing business solutions, and the necessity of effective change management for organizational adoption.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Amar Drawid, vice president and global head of data analytics, insights, and AI for BioNTech, sits down with Nagaraja Srivatsan to discuss the evolution, adoption, and challenges of AI in the biopharma sector. He discusses the real-world implementation challenges of generative AI, the iterative process of developing business solutions, and the necessity of effective change management for organizational adoption.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/y9ez4y99m4574fb6/072825_Amar_Drawid_v16n4rz.mp3" length="83978395" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Amar Drawid, vice president and global head of data analytics, insights, and AI for BioNTech, sits down with Nagaraja Srivatsan to discuss the evolution, adoption, and challenges of AI in the biopharma sector. He discusses the real-world implementation challenges of generative AI, the iterative process of developing business solutions, and the necessity of effective change management for organizational adoption.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2610</itunes:duration>
                <itunes:episode>33</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Why AI’s Most Promising Near-Term Value Is in Clinical Operations</title>
        <itunes:title>Why AI’s Most Promising Near-Term Value Is in Clinical Operations</itunes:title>
        <link>https://LSDNA.podbean.com/e/why-ai-s-most-promising-near-term-value-is-in-clinical-operations/</link>
                    <comments>https://LSDNA.podbean.com/e/why-ai-s-most-promising-near-term-value-is-in-clinical-operations/#comments</comments>        <pubDate>Thu, 14 Aug 2025 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/e41a3b19-6dd7-3aac-90fd-7d477ac9ca93</guid>
                                    <description><![CDATA[<p>Dimitris Agrafiotis, director of digital analytics and AI at Arsenal Capital Partners sits down with Nagaraja Srivatsan to discuss the current state of AI in clinical trials, the potential for AI to streamline operations, and the importance of user experience and change management in driving adoption of the technology.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Dimitris Agrafiotis, director of digital analytics and AI at Arsenal Capital Partners sits down with Nagaraja Srivatsan to discuss the current state of AI in clinical trials, the potential for AI to streamline operations, and the importance of user experience and change management in driving adoption of the technology.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/ff4694vtfpth578n/070125_Dimitris_Agrafiotis6y8pi.mp3" length="94884480" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Dimitris Agrafiotis, director of digital analytics and AI at Arsenal Capital Partners sits down with Nagaraja Srivatsan to discuss the current state of AI in clinical trials, the potential for AI to streamline operations, and the importance of user experience and change management in driving adoption of the technology.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2950</itunes:duration>
                <itunes:episode>32</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Teaching the Biopharma Workforce to Coexist with AI</title>
        <itunes:title>Teaching the Biopharma Workforce to Coexist with AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/teaching-the-biopharma-workforce-to-coexist-with-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/teaching-the-biopharma-workforce-to-coexist-with-ai/#comments</comments>        <pubDate>Thu, 24 Jul 2025 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/3fe8a0c8-45aa-3f0e-b950-0e01ce319985</guid>
                                    <description><![CDATA[<p>Sunil Talathi, senior director and head of data insights, data sciences, and analytics for BeOne Medicines; sits down with Nagaraja Srivatsan to discuss his experience implementing AI in a biopharmaceutical company. He discusses cost considerations, prompt engineering, and the need for collaboration between humans and AI systems.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Sunil Talathi, senior director and head of data insights, data sciences, and analytics for BeOne Medicines; sits down with Nagaraja Srivatsan to discuss his experience implementing AI in a biopharmaceutical company. He discusses cost considerations, prompt engineering, and the need for collaboration between humans and AI systems.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/xy3mgbrp6jmjk7nk/062025_Sunil_Talathi7f2j8.mp3" length="90801959" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Sunil Talathi, senior director and head of data insights, data sciences, and analytics for BeOne Medicines; sits down with Nagaraja Srivatsan to discuss his experience implementing AI in a biopharmaceutical company. He discusses cost considerations, prompt engineering, and the need for collaboration between humans and AI systems.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2823</itunes:duration>
                <itunes:episode>31</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Making Clinical Trials More Predictable with AI</title>
        <itunes:title>Making Clinical Trials More Predictable with AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/making-clinical-trials-more-predictable-with-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/making-clinical-trials-more-predictable-with-ai/#comments</comments>        <pubDate>Mon, 14 Jul 2025 16:55:11 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/1bd1962f-5dbb-34ff-b450-60feb053fec6</guid>
                                    <description><![CDATA[
<p>Craig Lipset, advisor and founder of Clinical Innovation Partners, sits down with Nagaraja Srivatsan to discuss how AI can bring greater predictability to clinical trials, how organizations can adopt the technology effectively, and the importance of having a culture of experimentation.</p>
]]></description>
                                                            <content:encoded><![CDATA[
<p>Craig Lipset, advisor and founder of Clinical Innovation Partners, sits down with Nagaraja Srivatsan to discuss how AI can bring greater predictability to clinical trials, how organizations can adopt the technology effectively, and the importance of having a culture of experimentation.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/hwx493vq8eu2x9ed/060625_Craig_Lipset_v1blfnm.mp3" length="80191201" type="audio/mpeg"/>
        <itunes:summary><![CDATA[
Craig Lipset, advisor and founder of Clinical Innovation Partners, sits down with Nagaraja Srivatsan to discuss how AI can bring greater predictability to clinical trials, how organizations can adopt the technology effectively, and the importance of having a culture of experimentation.
]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2491</itunes:duration>
                <itunes:episode>30</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Finding Healthcare Providers from Clinical Trials to War Zones</title>
        <itunes:title>Finding Healthcare Providers from Clinical Trials to War Zones</itunes:title>
        <link>https://LSDNA.podbean.com/e/finding-healthcare-providers-from-clinical-trials-to-war-zones/</link>
                    <comments>https://LSDNA.podbean.com/e/finding-healthcare-providers-from-clinical-trials-to-war-zones/#comments</comments>        <pubDate>Thu, 26 Jun 2025 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/53bffbf3-6a9c-387d-821f-070b29b753f2</guid>
                                    <description><![CDATA[<p>Ariel Katz, co-founder and CEO of H1, sits down with Amar Drawid to discuss how his company’s AI platform allows pharmaceutical companies to identify the right healthcare providers for their clinical trials, medical affairs, and commercial activities. He discusses the company’s unique datasets, the problem it solves for biopharmaceutical companies, and some unexpected ways the platform has been used.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Ariel Katz, co-founder and CEO of H1, sits down with Amar Drawid to discuss how his company’s AI platform allows pharmaceutical companies to identify the right healthcare providers for their clinical trials, medical affairs, and commercial activities. He discusses the company’s unique datasets, the problem it solves for biopharmaceutical companies, and some unexpected ways the platform has been used.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/e8bcuk3xzed3ejtb/060925_Ariel_Katz_V16tknm.mp3" length="77172958" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Ariel Katz, co-founder and CEO of H1, sits down with Amar Drawid to discuss how his company’s AI platform allows pharmaceutical companies to identify the right healthcare providers for their clinical trials, medical affairs, and commercial activities. He discusses the company’s unique datasets, the problem it solves for biopharmaceutical companies, and some unexpected ways the platform has been used.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2396</itunes:duration>
                <itunes:episode>29</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Driving Efficiency in Drug Development with AI</title>
        <itunes:title>Driving Efficiency in Drug Development with AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/driving-efficiency-in-drug-development-with-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/driving-efficiency-in-drug-development-with-ai/#comments</comments>        <pubDate>Thu, 12 Jun 2025 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/7889e536-dde3-3235-9384-3f2152d18ae0</guid>
                                    <description><![CDATA[<p>Venky Iyer, director of data strategy and automation at Pfizer, sits down with Nagaraja Srivatsan to discuss the transformative role of AI and machine learning in the pharmaceutical industry. They discuss Iyer’s journey in implementing AI solutions to enhance operational efficiency at Pfizer. They talk about the importance of engaging operational teams, managing change effectively, and focusing on the value of AI adoption in improving drug development processes.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Venky Iyer, director of data strategy and automation at Pfizer, sits down with Nagaraja Srivatsan to discuss the transformative role of AI and machine learning in the pharmaceutical industry. They discuss Iyer’s journey in implementing AI solutions to enhance operational efficiency at Pfizer. They talk about the importance of engaging operational teams, managing change effectively, and focusing on the value of AI adoption in improving drug development processes.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/c6bsrb936zxmk2tq/050225_Venky_Iyer_v18dt1l.mp3" length="90641101" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Venky Iyer, director of data strategy and automation at Pfizer, sits down with Nagaraja Srivatsan to discuss the transformative role of AI and machine learning in the pharmaceutical industry. They discuss Iyer’s journey in implementing AI solutions to enhance operational efficiency at Pfizer. They talk about the importance of engaging operational teams, managing change effectively, and focusing on the value of AI adoption in improving drug development processes.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2817</itunes:duration>
                <itunes:episode>28</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Improving Clinical Trial Designs with AI</title>
        <itunes:title>Improving Clinical Trial Designs with AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/improving-clinical-trial-designs-with-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/improving-clinical-trial-designs-with-ai/#comments</comments>        <pubDate>Thu, 29 May 2025 07:16:51 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/2c9e789a-ca59-37ee-94fc-573d6b2e0ef2</guid>
                                    <description><![CDATA[<p>Scott Chetham, co-founder and CEO of Faro Health, sits down with Amar Drawid to discuss how AI transforms clinical trial design and drug development. He talks about how AI can enhance patient selection, feasibility assessments, and protocol writing to accelerate drug development cost-effectively.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Scott Chetham, co-founder and CEO of Faro Health, sits down with Amar Drawid to discuss how AI transforms clinical trial design and drug development. He talks about how AI can enhance patient selection, feasibility assessments, and protocol writing to accelerate drug development cost-effectively.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/hgu4gdzvnksyxc4c/051625_Scott_Chetham_v17em88.mp3" length="111181464" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Scott Chetham, co-founder and CEO of Faro Health, sits down with Amar Drawid to discuss how AI transforms clinical trial design and drug development. He talks about how AI can enhance patient selection, feasibility assessments, and protocol writing to accelerate drug development cost-effectively.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3459</itunes:duration>
                <itunes:episode>27</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Improving the Efficiency of the Pharma Workforce with AI</title>
        <itunes:title>Improving the Efficiency of the Pharma Workforce with AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/improving-the-efficiency-of-the-pharma-workforce-with-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/improving-the-efficiency-of-the-pharma-workforce-with-ai/#comments</comments>        <pubDate>Thu, 15 May 2025 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/d343d5d4-7c9b-3dbd-a16d-6e53c2ab0c12</guid>
                                    <description><![CDATA[<p>Kannan Natarajan, senior vice president at Pfizer, discusses the potential of generative AI to streamline pharmaceutical documentation processes and improve efficiency, what he’s learned about implementing AI solutions, and the cultural challenges of adopting new technologies.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Kannan Natarajan, senior vice president at Pfizer, discusses the potential of generative AI to streamline pharmaceutical documentation processes and improve efficiency, what he’s learned about implementing AI solutions, and the cultural challenges of adopting new technologies.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/6x2mfrdjdzpku4g4/050125_Kannan_Natarajan_v18km85.mp3" length="18262117" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Kannan Natarajan, senior vice president at Pfizer, discusses the potential of generative AI to streamline pharmaceutical documentation processes and improve efficiency, what he’s learned about implementing AI solutions, and the cultural challenges of adopting new technologies.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2282</itunes:duration>
                <itunes:episode>26</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Navigating AI Implementation in Pharma</title>
        <itunes:title>Navigating AI Implementation in Pharma</itunes:title>
        <link>https://LSDNA.podbean.com/e/navigating-ai-implementation-in-pharma/</link>
                    <comments>https://LSDNA.podbean.com/e/navigating-ai-implementation-in-pharma/#comments</comments>        <pubDate>Thu, 24 Apr 2025 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/d7c1c396-16f9-374a-af1d-e4f84aa04fe9</guid>
                                    <description><![CDATA[<p>Vinod Das, Pharma R&amp;D, Drug Innovation &amp; AI Scouting for Bayer; sits down with Nagaraja Srivatsan to discuss the integration of generative AI in drug discovery and clinical development. He discusses the journey of AI adoption, the importance of prompt engineering, and the complexities of implementation.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Vinod Das, Pharma R&amp;D, Drug Innovation &amp; AI Scouting for Bayer; sits down with Nagaraja Srivatsan to discuss the integration of generative AI in drug discovery and clinical development. He discusses the journey of AI adoption, the importance of prompt engineering, and the complexities of implementation.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/i7ax5nqxnfzgwdae/041125_Vinod_Das_v169umw.mp3" length="82823702" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Vinod Das, Pharma R&amp;D, Drug Innovation &amp; AI Scouting for Bayer; sits down with Nagaraja Srivatsan to discuss the integration of generative AI in drug discovery and clinical development. He discusses the journey of AI adoption, the importance of prompt engineering, and the complexities of implementation.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2573</itunes:duration>
                <itunes:episode>25</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Transforming Cancer Care in India with AI</title>
        <itunes:title>Transforming Cancer Care in India with AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/transforming-cancer-care-in-india-with-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/transforming-cancer-care-in-india-with-ai/#comments</comments>        <pubDate>Thu, 10 Apr 2025 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/7bb8ade2-78d3-3004-bffc-179506894f60</guid>
                                    <description><![CDATA[<p>Vijayalakshmi Ramshankar, professor and head of the Department of Cancer Biology and Molecular Diagnostics at Cancer Institute (WIA) sits down with Nagaraja Srivatsan to discuss the cancer research landscape in India, the work she is doing to leverage AI to improve diagnosis and outcomes, and the future of AI in oncology</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Vijayalakshmi Ramshankar, professor and head of the Department of Cancer Biology and Molecular Diagnostics at Cancer Institute (WIA) sits down with Nagaraja Srivatsan to discuss the cancer research landscape in India, the work she is doing to leverage AI to improve diagnosis and outcomes, and the future of AI in oncology</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/cacycd8h2zdg7e68/030725_Vijayalakshmi_Ramshanka77116.mp3" length="69923188" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Vijayalakshmi Ramshankar, professor and head of the Department of Cancer Biology and Molecular Diagnostics at Cancer Institute (WIA) sits down with Nagaraja Srivatsan to discuss the cancer research landscape in India, the work she is doing to leverage AI to improve diagnosis and outcomes, and the future of AI in oncology]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2170</itunes:duration>
                <itunes:episode>24</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Navigating the Challenges of Integrating AI in Clinical Development</title>
        <itunes:title>Navigating the Challenges of Integrating AI in Clinical Development</itunes:title>
        <link>https://LSDNA.podbean.com/e/navigating-the-challenges-of-integrating-ai-in-clinical-development/</link>
                    <comments>https://LSDNA.podbean.com/e/navigating-the-challenges-of-integrating-ai-in-clinical-development/#comments</comments>        <pubDate>Thu, 27 Mar 2025 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/a849f1e5-c6e8-3de5-8900-9c56951c9015</guid>
                                    <description><![CDATA[<p>Manoranjan Das, director of global drug development IT for Bristol Myers Squibb, sits down with Nagaraja Srivatsan to discuss his work to implement AI in clinical development, the importance of change management, and the lessons learned from various AI projects he’s led.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Manoranjan Das, director of global drug development IT for Bristol Myers Squibb, sits down with Nagaraja Srivatsan to discuss his work to implement AI in clinical development, the importance of change management, and the lessons learned from various AI projects he’s led.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/jsj9ihsujwkdvzzb/LSDNA-Mano_Das-3-27-257ayvb.mp3" length="35281398" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Manoranjan Das, director of global drug development IT for Bristol Myers Squibb, sits down with Nagaraja Srivatsan to discuss his work to implement AI in clinical development, the importance of change management, and the lessons learned from various AI projects he’s led.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2422</itunes:duration>
                <itunes:episode>23</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Leveraging AI in Clinical Development</title>
        <itunes:title>Leveraging AI in Clinical Development</itunes:title>
        <link>https://LSDNA.podbean.com/e/the-opportunities-and-challenges-of-integrating-ai-into-clinical-development/</link>
                    <comments>https://LSDNA.podbean.com/e/the-opportunities-and-challenges-of-integrating-ai-into-clinical-development/#comments</comments>        <pubDate>Thu, 13 Mar 2025 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/e6c3cc44-9732-3e17-80c3-49223c9abdb3</guid>
                                    <description><![CDATA[<p>Aman Thukral, director of Clinical Systems And Digital Operations at AbbVie, sits down with Nagaraja Srivatsan to discuss the evolving landscape of clinical trials with the integration of AI, why change management is essential for successful implementation, and the need for a long-term investment approach in AI initiatives.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Aman Thukral, director of Clinical Systems And Digital Operations at AbbVie, sits down with Nagaraja Srivatsan to discuss the evolving landscape of clinical trials with the integration of AI, why change management is essential for successful implementation, and the need for a long-term investment approach in AI initiatives.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/mx58gv8nh9tpcr9i/021225_Aman_Nagaraja7m6f0.mp3" length="54487111" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Aman Thukral, director of Clinical Systems And Digital Operations at AbbVie, sits down with Nagaraja Srivatsan to discuss the evolving landscape of clinical trials with the integration of AI, why change management is essential for successful implementation, and the need for a long-term investment approach in AI initiatives.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2250</itunes:duration>
                <itunes:episode>22</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Integrating AI into Precision Medicine</title>
        <itunes:title>Integrating AI into Precision Medicine</itunes:title>
        <link>https://LSDNA.podbean.com/e/integrating-ai-into-precision-medicine/</link>
                    <comments>https://LSDNA.podbean.com/e/integrating-ai-into-precision-medicine/#comments</comments>        <pubDate>Thu, 27 Feb 2025 00:00:00 -0800</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/e4709b00-9935-3822-b8d2-7e9543b18d6e</guid>
                                    <description><![CDATA[<p>Tobias Guennel, senior vice president of product innovation and co-founder of QuartzBio, joins Nagaraja Srivatsan to discuss his insights on leveraging AI and advanced analytics to improve clinical trial efficiency, the integration of AI in precision medicine, and the use of AI agents to automate clinical trial operations.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Tobias Guennel, senior vice president of product innovation and co-founder of QuartzBio, joins Nagaraja Srivatsan to discuss his insights on leveraging AI and advanced analytics to improve clinical trial efficiency, the integration of AI in precision medicine, and the use of AI agents to automate clinical trial operations.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/iiuakvkdfy9g5kpv/020325_Tobias_Guennel_v381690.mp3" length="57098849" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Tobias Guennel, senior vice president of product innovation and co-founder of QuartzBio, joins Nagaraja Srivatsan to discuss his insights on leveraging AI and advanced analytics to improve clinical trial efficiency, the integration of AI in precision medicine, and the use of AI agents to automate clinical trial operations.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2361</itunes:duration>
                <itunes:episode>21</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Transforming Clinical Development with AI</title>
        <itunes:title>Transforming Clinical Development with AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/transforming-clinical-development-with-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/transforming-clinical-development-with-ai/#comments</comments>        <pubDate>Thu, 13 Feb 2025 00:00:00 -0800</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/505b5ccb-8138-3f1e-ad14-564151f34350</guid>
                                    <description><![CDATA[<p>Bhaskar Sambasivan, CEO of Saama, sits down with Nagaraja Srivatsan to discuss the transformative role of AI in clinical development, why AI adoption will be a CEO mandate, and why the future of AI in drug development will be about autonomous decision-making.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Bhaskar Sambasivan, CEO of Saama, sits down with Nagaraja Srivatsan to discuss the transformative role of AI in clinical development, why AI adoption will be a CEO mandate, and why the future of AI in drug development will be about autonomous decision-making.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/3mdfct4em4uzqpcg/020225_Bhaskar_Nagaraja_v49k5la.mp3" length="51056103" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Bhaskar Sambasivan, CEO of Saama, sits down with Nagaraja Srivatsan to discuss the transformative role of AI in clinical development, why AI adoption will be a CEO mandate, and why the future of AI in drug development will be about autonomous decision-making.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2107</itunes:duration>
                <itunes:episode>20</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Generating Proteins Nature Never Imagined</title>
        <itunes:title>Generating Proteins Nature Never Imagined</itunes:title>
        <link>https://LSDNA.podbean.com/e/generating-proteins-nature-never-imagined/</link>
                    <comments>https://LSDNA.podbean.com/e/generating-proteins-nature-never-imagined/#comments</comments>        <pubDate>Thu, 12 Dec 2024 00:00:00 -0800</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/41b4b784-2753-3e88-9a44-5c17f792e116</guid>
                                    <description><![CDATA[<p>Mike Nally, CEO of Generate Biomedicines, sits down with Amar Drawid to discuss the innovative use of generative AI in drug discovery, how the company’s platform integrates machine learning with biological engineering to create new therapeutic proteins, and the potential of generative AI to create more effective therapies for cancer and infectious diseases.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Mike Nally, CEO of Generate Biomedicines, sits down with Amar Drawid to discuss the innovative use of generative AI in drug discovery, how the company’s platform integrates machine learning with biological engineering to create new therapeutic proteins, and the potential of generative AI to create more effective therapies for cancer and infectious diseases.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/9mxjwgfkaiguv4ds/riverside_daniel_levine_compressed-audio_lsdna_-_mike_nally_000884xj8.mp3" length="31555518" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Mike Nally, CEO of Generate Biomedicines, sits down with Amar Drawid to discuss the innovative use of generative AI in drug discovery, how the company’s platform integrates machine learning with biological engineering to create new therapeutic proteins, and the potential of generative AI to create more effective therapies for cancer and infectious diseases.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3944</itunes:duration>
                <itunes:episode>19</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Why Data Strategy Must Be Tied to Business Outcomes</title>
        <itunes:title>Why Data Strategy Must Be Tied to Business Outcomes</itunes:title>
        <link>https://LSDNA.podbean.com/e/why-data-strategy-must-be-tied-to-business-outcomes/</link>
                    <comments>https://LSDNA.podbean.com/e/why-data-strategy-must-be-tied-to-business-outcomes/#comments</comments>        <pubDate>Wed, 27 Nov 2024 00:00:00 -0800</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/459db876-267a-3613-8fd4-ef915e9709e9</guid>
                                    <description><![CDATA[<p>Kannan Raman of Amazon Web Service sits down with Amar Drawid to discuss the role of AI in transforming life sciences and the importance of data strategy being tied to business outcomes. They explore the challenges of data strategy, the importance of cultural shifts within organizations, and the monetization of data as a product.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Kannan Raman of Amazon Web Service sits down with Amar Drawid to discuss the role of AI in transforming life sciences and the importance of data strategy being tied to business outcomes. They explore the challenges of data strategy, the importance of cultural shifts within organizations, and the monetization of data as a product.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/uqh8mhpibcepkmes/riverside_daniel_levine_compressed-audio_lsdna_-_kannan_raman_00096lunb.mp3" length="28148524" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Kannan Raman of Amazon Web Service sits down with Amar Drawid to discuss the role of AI in transforming life sciences and the importance of data strategy being tied to business outcomes. They explore the challenges of data strategy, the importance of cultural shifts within organizations, and the monetization of data as a product.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3518</itunes:duration>
                <itunes:episode>18</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Biopharma Companies Wrestle with an Outsized Demand for AI Talent</title>
        <itunes:title>Biopharma Companies Wrestle with an Outsized Demand for AI Talent</itunes:title>
        <link>https://LSDNA.podbean.com/e/biopharma-companies-wrestle-with-an-outsized-demand-for-ai-talent/</link>
                    <comments>https://LSDNA.podbean.com/e/biopharma-companies-wrestle-with-an-outsized-demand-for-ai-talent/#comments</comments>        <pubDate>Thu, 14 Nov 2024 00:00:00 -0800</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/ec62fd80-6de5-31b7-9b2a-ed4037a917f9</guid>
                                    <description><![CDATA[<p>The increasing demand for AI talent in the life sciences industry is presenting a challenge for biopharma HR departments. Companies must compete for skilled workers not only against their competitors but also against tech firms that often offer more attractive compensation packages. Steve Swan, CEO of The Swan Group, sat down with Amar Drawid to discuss the current recruitment landscape for AI talent in the life sciences sector, the challenges companies are encountering, and why the mission of drug developers might give them a competitive advantage over tech companies in appealing to certain candidates.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>The increasing demand for AI talent in the life sciences industry is presenting a challenge for biopharma HR departments. Companies must compete for skilled workers not only against their competitors but also against tech firms that often offer more attractive compensation packages. Steve Swan, CEO of The Swan Group, sat down with Amar Drawid to discuss the current recruitment landscape for AI talent in the life sciences sector, the challenges companies are encountering, and why the mission of drug developers might give them a competitive advantage over tech companies in appealing to certain candidates.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/qjwv9ymia2zixk23/riverside_daniel_levine_compressed-audio_lsdna_-_steven_swan_001061nbf.mp3" length="23474904" type="audio/mpeg"/>
        <itunes:summary><![CDATA[The increasing demand for AI talent in the life sciences industry is presenting a challenge for biopharma HR departments. Companies must compete for skilled workers not only against their competitors but also against tech firms that often offer more attractive compensation packages. Steve Swan, CEO of The Swan Group, sat down with Amar Drawid to discuss the current recruitment landscape for AI talent in the life sciences sector, the challenges companies are encountering, and why the mission of drug developers might give them a competitive advantage over tech companies in appealing to certain candidates.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2934</itunes:duration>
                <itunes:episode>17</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Using AI and Synthetic Biology to Go Where Antibody Therapies Can’t</title>
        <itunes:title>Using AI and Synthetic Biology to Go Where Antibody Therapies Can’t</itunes:title>
        <link>https://LSDNA.podbean.com/e/using-ai-and-synthetic-biology-to-go-where-antibody-therapies-can-t/</link>
                    <comments>https://LSDNA.podbean.com/e/using-ai-and-synthetic-biology-to-go-where-antibody-therapies-can-t/#comments</comments>        <pubDate>Thu, 24 Oct 2024 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/1748edbf-0a63-3296-88ff-e92c4c21f75c</guid>
                                    <description><![CDATA[<p>Monoclonal antibodies have been an important addition to the biomedical arsenal, but these therapies have limited ability to target a group of cell surface receptors known as GPCRs. Aikium is developing a new class of therapies known as SeqR proteins that offer an alternative to antibody-based drugs and can bind to intrinsically disordered regions of targeted GPCRs that were previously considered undruggable. Venkatesh Mysore, co-founder and CTO of Aikium, sits down with Amar Drawid to discuss how the company is using AI and synthetic biology to discover SeqR protein therapeutics to treat cancer, auto-immune diseases, and neuro-inflammatory disorders.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Monoclonal antibodies have been an important addition to the biomedical arsenal, but these therapies have limited ability to target a group of cell surface receptors known as GPCRs. Aikium is developing a new class of therapies known as SeqR proteins that offer an alternative to antibody-based drugs and can bind to intrinsically disordered regions of targeted GPCRs that were previously considered undruggable. Venkatesh Mysore, co-founder and CTO of Aikium, sits down with Amar Drawid to discuss how the company is using AI and synthetic biology to discover SeqR protein therapeutics to treat cancer, auto-immune diseases, and neuro-inflammatory disorders.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/v69uaz5c587ybeg4/riverside_daniel_levine_compressed-audio_lsdna_-_venkatesh_m_000667hrc.mp3" length="27824396" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Monoclonal antibodies have been an important addition to the biomedical arsenal, but these therapies have limited ability to target a group of cell surface receptors known as GPCRs. Aikium is developing a new class of therapies known as SeqR proteins that offer an alternative to antibody-based drugs and can bind to intrinsically disordered regions of targeted GPCRs that were previously considered undruggable. Venkatesh Mysore, co-founder and CTO of Aikium, sits down with Amar Drawid to discuss how the company is using AI and synthetic biology to discover SeqR protein therapeutics to treat cancer, auto-immune diseases, and neuro-inflammatory disorders.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3478</itunes:duration>
                <itunes:episode>16</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Unlocking Market Access with AI</title>
        <itunes:title>Unlocking Market Access with AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/unlocking-market-access-with-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/unlocking-market-access-with-ai/#comments</comments>        <pubDate>Thu, 10 Oct 2024 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/e293530c-0ba7-351e-bef6-c6f29eaf6333</guid>
                                    <description><![CDATA[<p>Rick Lloyd, founder and senior healthcare advisor of Range Health Advisors, sits down with Amar Drawid to discuss the intricacies of market access in the pharmaceutical industry, the importance of data analytics and AI in navigating the complexities of pricing and reimbursement, and how real-world evidence may help address the challenges faced by patients and healthcare providers in accessing medications.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Rick Lloyd, founder and senior healthcare advisor of Range Health Advisors, sits down with Amar Drawid to discuss the intricacies of market access in the pharmaceutical industry, the importance of data analytics and AI in navigating the complexities of pricing and reimbursement, and how real-world evidence may help address the challenges faced by patients and healthcare providers in accessing medications.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/n8xwznm8nipircyt/riverside_daniel_levine_compressed-audio_lsdna_-_rick_lloyd_00066ybrq.mp3" length="25751946" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Rick Lloyd, founder and senior healthcare advisor of Range Health Advisors, sits down with Amar Drawid to discuss the intricacies of market access in the pharmaceutical industry, the importance of data analytics and AI in navigating the complexities of pricing and reimbursement, and how real-world evidence may help address the challenges faced by patients and healthcare providers in accessing medications.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3218</itunes:duration>
                <itunes:episode>15</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ensuring Successful Implementation of AI</title>
        <itunes:title>Ensuring Successful Implementation of AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/ensuring-successful-implementation-of-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/ensuring-successful-implementation-of-ai/#comments</comments>        <pubDate>Thu, 03 Oct 2024 09:30:17 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/daadffce-7bb1-3905-ae29-685048d4c0f9</guid>
                                    <description><![CDATA[<p>Anastasia Christianson, AI and data analytics senior consultant and strategic advisor to life sciences and healthcare companies, sits down with Amar Drawid to discuss the integration of AI in the pharmaceutical industry, the importance of organizational models, and why its important for teams across an organization to co-create rather than to work in isolation.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Anastasia Christianson, AI and data analytics senior consultant and strategic advisor to life sciences and healthcare companies, sits down with Amar Drawid to discuss the integration of AI in the pharmaceutical industry, the importance of organizational models, and why its important for teams across an organization to co-create rather than to work in isolation.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/pead7jhytg3ri3yi/riverside_daniel_levine_compressed-audio_lsdna_-_anastasia_c_0006b1vpd.mp3" length="25358019" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Anastasia Christianson, AI and data analytics senior consultant and strategic advisor to life sciences and healthcare companies, sits down with Amar Drawid to discuss the integration of AI in the pharmaceutical industry, the importance of organizational models, and why its important for teams across an organization to co-create rather than to work in isolation.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3169</itunes:duration>
                <itunes:episode>14</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Tackling the New Bottleneck of Drug Discovery</title>
        <itunes:title>Tackling the New Bottleneck of Drug Discovery</itunes:title>
        <link>https://LSDNA.podbean.com/e/tackling-the-new-bottleneck-of-drug-discovery/</link>
                    <comments>https://LSDNA.podbean.com/e/tackling-the-new-bottleneck-of-drug-discovery/#comments</comments>        <pubDate>Thu, 12 Sep 2024 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/3ff73c0b-0c5b-313b-a39b-7e328620d7fd</guid>
                                    <description><![CDATA[<p>Markus Gershater, chief scientific officer and co-founder of Synthace sits down with Amar Drawid to discuss Synthace’s AI-based platform that enables drug developers to design complex experiments, run them, and capture and analyze the data all in an automated way.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Markus Gershater, chief scientific officer and co-founder of Synthace sits down with Amar Drawid to discuss Synthace’s AI-based platform that enables drug developers to design complex experiments, run them, and capture and analyze the data all in an automated way.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/wagbg7gwi85s4pvx/Markus_Gershater_edit_v18xmix.mp3" length="82991832" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Markus Gershater, chief scientific officer and co-founder of Synthace sits down with Amar Drawid to discuss Synthace’s AI-based platform that enables drug developers to design complex experiments, run them, and capture and analyze the data all in an automated way.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3440</itunes:duration>
                <itunes:episode>13</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Swimming in the Deep End of AI</title>
        <itunes:title>Swimming in the Deep End of AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/swimming-in-the-deep-end-of-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/swimming-in-the-deep-end-of-ai/#comments</comments>        <pubDate>Thu, 22 Aug 2024 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/67d8992c-2b86-3526-adeb-5cc279347c03</guid>
                                    <description><![CDATA[<p>Brendan Frey, founder and chief innovation officer of Deep Genomics, sits down with Amar Drawid to discuss how the company is using deep learning to leverage massive RNA biology datasets to drive the development of new therapies.  </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Brendan Frey, founder and chief innovation officer of Deep Genomics, sits down with Amar Drawid to discuss how the company is using deep learning to leverage massive RNA biology datasets to drive the development of new therapies.  </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/zrmqxyf93fymavxy/14_LSDNA_-_Brendan_Frey_Edit_v1br1r4.mp3" length="57168420" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Brendan Frey, founder and chief innovation officer of Deep Genomics, sits down with Amar Drawid to discuss how the company is using deep learning to leverage massive RNA biology datasets to drive the development of new therapies.  ]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3548</itunes:duration>
                <itunes:episode>12</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Using AI to Make Biology Easier to Engineer</title>
        <itunes:title>Using AI to Make Biology Easier to Engineer</itunes:title>
        <link>https://LSDNA.podbean.com/e/using-ai-to-make-biology-easier-to-engineer/</link>
                    <comments>https://LSDNA.podbean.com/e/using-ai-to-make-biology-easier-to-engineer/#comments</comments>        <pubDate>Thu, 25 Jul 2024 08:23:45 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/b005f72b-1f0f-33fc-a605-f883ea288f4c</guid>
                                    <description><![CDATA[<p>Ankit Gupta, the head of AI and Senior Director of Machine Learning Research for Ginkgo Bioworks sits down with Amar Drawid to discuss bioengineering beyond healthcare, how the company is using generative AI and large language models to accelerate bioengineering, it expects this to revolutionize the field.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Ankit Gupta, the head of AI and Senior Director of Machine Learning Research for Ginkgo Bioworks sits down with Amar Drawid to discuss bioengineering beyond healthcare, how the company is using generative AI and large language models to accelerate bioengineering, it expects this to revolutionize the field.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/58c7x7yiy23subyn/13_LSDNA_-_Ankit_Gupta_v1aitw9.mp3" length="78507597" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Ankit Gupta, the head of AI and Senior Director of Machine Learning Research for Ginkgo Bioworks sits down with Amar Drawid to discuss bioengineering beyond healthcare, how the company is using generative AI and large language models to accelerate bioengineering, it expects this to revolutionize the field.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3226</itunes:duration>
                <itunes:episode>11</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>How AI ls Reshaping the Future of Healthcare</title>
        <itunes:title>How AI ls Reshaping the Future of Healthcare</itunes:title>
        <link>https://LSDNA.podbean.com/e/how-ai-ls-reshaping-the-future-of-healthcare/</link>
                    <comments>https://LSDNA.podbean.com/e/how-ai-ls-reshaping-the-future-of-healthcare/#comments</comments>        <pubDate>Thu, 27 Jun 2024 09:12:50 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/621e18ce-723b-3cbf-aaca-5ce84bfd58a1</guid>
                                    <description><![CDATA[<p style="background: white; vertical-align: baseline;">Subodha Kumar, professor of statistics, operations, and data science and the founding director of the Center for Business Analytics and Disruptive Technologies at Temple University’s Fox School of Business, sits down with Amar Drawid to discuss how AI will improve operational efficiency in healthcare, enable mass customization for patients, and free providers up to focus on high-value decision making. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p style="background: white; vertical-align: baseline;">Subodha Kumar, professor of statistics, operations, and data science and the founding director of the Center for Business Analytics and Disruptive Technologies at Temple University’s Fox School of Business, sits down with Amar Drawid to discuss how AI will improve operational efficiency in healthcare, enable mass customization for patients, and free providers up to focus on high-value decision making. </p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/3jcdwgmv5tt49gsf/riverside_daniel_levine_compressed-audio_ep_11-_lsdna-_subod_0006bhb3o.mp3" length="28974411" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Subodha Kumar, professor of statistics, operations, and data science and the founding director of the Center for Business Analytics and Disruptive Technologies at Temple University’s Fox School of Business, sits down with Amar Drawid to discuss how AI will improve operational efficiency in healthcare, enable mass customization for patients, and free providers up to focus on high-value decision making. ]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3621</itunes:duration>
                <itunes:episode>10</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>A Venture Studio with Big Pharma Backing Seeks to Fix Drug Development with AI</title>
        <itunes:title>A Venture Studio with Big Pharma Backing Seeks to Fix Drug Development with AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/a-venture-studio-with-big-pharma-backing-seeks-to-fix-drug-development-with-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/a-venture-studio-with-big-pharma-backing-seeks-to-fix-drug-development-with-ai/#comments</comments>        <pubDate>Thu, 13 Jun 2024 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/3e8eb4a5-f70d-3bdd-8c60-5b0e24630308</guid>
                                    <description><![CDATA[<p>Mati Gill, CEO of AION Labs, sits down with Amar Drawid to discuss how the AI venture studio works with its Big Pharma partners to define the biggest drug development hurdles the industry faces; and how it holds challenges to attract academics, entrepreneurs, and life sciences professionals with the best solutions to build new companies.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Mati Gill, CEO of AION Labs, sits down with Amar Drawid to discuss how the AI venture studio works with its Big Pharma partners to define the biggest drug development hurdles the industry faces; and how it holds challenges to attract academics, entrepreneurs, and life sciences professionals with the best solutions to build new companies.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/vykuzaw2ivmik6h9/12_LSDNA_-_Mati_GillInterview_v18roo1.mp3" length="93218826" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Mati Gill, CEO of AION Labs, sits down with Amar Drawid to discuss how the AI venture studio works with its Big Pharma partners to define the biggest drug development hurdles the industry faces; and how it holds challenges to attract academics, entrepreneurs, and life sciences professionals with the best solutions to build new companies.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3838</itunes:duration>
                <itunes:episode>9</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog17992013/LSDNA_-_10-24_logo_tdani8.jpg" />    </item>
    <item>
        <title>Decoding the Immune System to Optimize Immunotherapies</title>
        <itunes:title>Decoding the Immune System to Optimize Immunotherapies</itunes:title>
        <link>https://LSDNA.podbean.com/e/decoding-the-immune-system-to-optimize-immunotherapies/</link>
                    <comments>https://LSDNA.podbean.com/e/decoding-the-immune-system-to-optimize-immunotherapies/#comments</comments>        <pubDate>Thu, 30 May 2024 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/11928818-0ce8-3732-95d4-105da4720e6a</guid>
                                    <description><![CDATA[<p>Noam Solomon, co-founder and CEO of Immunai, sits down with Amar Drawid to discuss how the company is using machine learning to take a multi-omics approach to understanding the complexities of the immune system, how it is constructing an atlas of immune cells, and how it is leveraging this to develop the next generation of immunomodulatory drugs.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Noam Solomon, co-founder and CEO of Immunai, sits down with Amar Drawid to discuss how the company is using machine learning to take a multi-omics approach to understanding the complexities of the immune system, how it is constructing an atlas of immune cells, and how it is leveraging this to develop the next generation of immunomodulatory drugs.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/mhxkuxaig46qn6nz/06_LSDNA-_Noam_Solomon_v3apydv.mp3" length="59648353" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Noam Solomon, co-founder and CEO of Immunai, sits down with Amar Drawid to discuss how the company is using machine learning to take a multi-omics approach to understanding the complexities of the immune system, how it is constructing an atlas of immune cells, and how it is leveraging this to develop the next generation of immunomodulatory drugs.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3659</itunes:duration>
                <itunes:episode>8</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog17992013/LSDNA_-_10-24_logo_dbv5as.jpg" />    </item>
    <item>
        <title>Bringing Precision Medicine to Mental Health with AI</title>
        <itunes:title>Bringing Precision Medicine to Mental Health with AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/bringing-precision-medicine-to-mental-health-with-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/bringing-precision-medicine-to-mental-health-with-ai/#comments</comments>        <pubDate>Thu, 09 May 2024 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/a16a879e-7c49-3205-99d7-6446b5f7edf2</guid>
                                    <description><![CDATA[<p>Behavioral health is one area of medicine that has lagged in the move towards precision medicine, in part because of a lack of high-quality evidence to drive decision-making. Holmusk is working to change that by using AI and real-world data to transform mental health care. Eze Abosi, chief growth officer for Holmusk, sits down with Amar Drawid to discuss the need for standardized ways to measure symptoms for behavioral health conditions. They talk about how Holmusk is unlocking much-needed evidence to guide the successful development of new therapies, how its platform technology works, and why he believes it is charting a path for bringing precision medicines to people with mental health conditions.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Behavioral health is one area of medicine that has lagged in the move towards precision medicine, in part because of a lack of high-quality evidence to drive decision-making. Holmusk is working to change that by using AI and real-world data to transform mental health care. Eze Abosi, chief growth officer for Holmusk, sits down with Amar Drawid to discuss the need for standardized ways to measure symptoms for behavioral health conditions. They talk about how Holmusk is unlocking much-needed evidence to guide the successful development of new therapies, how its platform technology works, and why he believes it is charting a path for bringing precision medicines to people with mental health conditions.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/amkh4msbz6pbkbbm/07_LSDNA-_Eze_Abosi_Holmusk_Interview_v1bdgbr.mp3" length="85103128" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Behavioral health is one area of medicine that has lagged in the move towards precision medicine, in part because of a lack of high-quality evidence to drive decision-making. Holmusk is working to change that by using AI and real-world data to transform mental health care. Eze Abosi, chief growth officer for Holmusk, sits down with Amar Drawid to discuss the need for standardized ways to measure symptoms for behavioral health conditions. They talk about how Holmusk is unlocking much-needed evidence to guide the successful development of new therapies, how its platform technology works, and why he believes it is charting a path for bringing precision medicines to people with mental health conditions.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3501</itunes:duration>
                <itunes:episode>7</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog17992013/LSDNA_-_10-24_logo_iap63g.jpg" />    </item>
    <item>
        <title>The Power and Peril of Generative AI in Biopharma and Healthcare</title>
        <itunes:title>The Power and Peril of Generative AI in Biopharma and Healthcare</itunes:title>
        <link>https://LSDNA.podbean.com/e/the-power-and-peril-of-generative-ai-in-biopharma-and-healthcare/</link>
                    <comments>https://LSDNA.podbean.com/e/the-power-and-peril-of-generative-ai-in-biopharma-and-healthcare/#comments</comments>        <pubDate>Thu, 25 Apr 2024 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/f4982675-e375-3e99-865b-64c47446ad68</guid>
                                    <description><![CDATA[<p>Healthtech and AI Executive Advisor Christian Hein sits down with Amar Drawid to discuss the use of generative AI in the life sciences, its transformational potential, and the current challenges that need to be addressed.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Healthtech and AI Executive Advisor Christian Hein sits down with Amar Drawid to discuss the use of generative AI in the life sciences, its transformational potential, and the current challenges that need to be addressed.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/n6vkxqjcvfj4aauy/08_LSDNA_-_Christian_Hein_Interview_v19cwch.mp3" length="76554734" type="audio/mpeg"/>
        <itunes:summary>Healthtech and AI Executive Advisor Christian Hein sits down with Amar Drawid to discuss the use of generative AI in the life sciences, its transformational potential, and the current challenges that need to be addressed.</itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3145</itunes:duration>
                <itunes:episode>6</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog17992013/Life_sciences_DNA_podcast_1_1__3neg6u.jpg" />    </item>
    <item>
        <title>Unlocking the Complexity of Disease with Transomics and AI</title>
        <itunes:title>Unlocking the Complexity of Disease with Transomics and AI</itunes:title>
        <link>https://LSDNA.podbean.com/e/unlocking-the-complexity-of-disease-with-transomics-and-ai/</link>
                    <comments>https://LSDNA.podbean.com/e/unlocking-the-complexity-of-disease-with-transomics-and-ai/#comments</comments>        <pubDate>Thu, 11 Apr 2024 14:58:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/b418a7be-e95b-3d34-bd64-7001b5dc8831</guid>
                                    <description><![CDATA[<p>Samantha Dale Strasser, co-founder and chief scientific officer of Pepper Bio, sits down with Amar Drawid to discuss how her company is leveraging AI to get a deeper understanding of disease biology through the use of transomics. We spoke to Strasser about the challenges studying complex diseases, why it’s critical to have the right data to separate signal from noise, and Pepper Bio's dual strategy for balancing partnerships with its own development pipeline.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Samantha Dale Strasser, co-founder and chief scientific officer of Pepper Bio, sits down with Amar Drawid to discuss how her company is leveraging AI to get a deeper understanding of disease biology through the use of transomics. We spoke to Strasser about the challenges studying complex diseases, why it’s critical to have the right data to separate signal from noise, and Pepper Bio's dual strategy for balancing partnerships with its own development pipeline.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/h3ubvf/05_LSDNA-_Dr_Samantha_Dale_Strasser_Interview_v171cr8.mp3" length="69007927" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Samantha Dale Strasser, co-founder and chief scientific officer of Pepper Bio, sits down with Amar Drawid to discuss how her company is leveraging AI to get a deeper understanding of disease biology through the use of transomics. We spoke to Strasser about the challenges studying complex diseases, why it’s critical to have the right data to separate signal from noise, and Pepper Bio's dual strategy for balancing partnerships with its own development pipeline.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2830</itunes:duration>
                <itunes:episode>5</itunes:episode>
        <itunes:episodeType>full</itunes:episodeType>
        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog17992013/Life_sciences_DNA_podcast_1_1_8dt1e.jpg" />    </item>
    <item>
        <title>Why Biopharma Companies Should Recognize Data Analytics and AI as Strategic Advantages</title>
        <itunes:title>Why Biopharma Companies Should Recognize Data Analytics and AI as Strategic Advantages</itunes:title>
        <link>https://LSDNA.podbean.com/e/why-biopharma-companies-should-recognize-data-analytics-and-ai-as-strategic-advantages/</link>
                    <comments>https://LSDNA.podbean.com/e/why-biopharma-companies-should-recognize-data-analytics-and-ai-as-strategic-advantages/#comments</comments>        <pubDate>Thu, 28 Mar 2024 00:00:00 -0700</pubDate>
        <guid isPermaLink="false">LSDNA.podbean.com/92cf87b9-4760-3046-9fb4-b51451d4627f</guid>
                                    <description><![CDATA[<p>Nagaraja Srivatsan, founder of the consulting firm Vidya Seva, sits down with Amar Drawid to discuss the application of data analytics and AI to healthcare and the life sciences, how it has evolved, and why it will be a competitive differentiator for companies that successfully capitalize the potential of these technologies.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Nagaraja Srivatsan, founder of the consulting firm Vidya Seva, sits down with Amar Drawid to discuss the application of data analytics and AI to healthcare and the life sciences, how it has evolved, and why it will be a competitive differentiator for companies that successfully capitalize the potential of these technologies.</p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/ifyrq5/04_LSDNA-_Nagaraja_Srivatsan_Interview_v16mdmh.mp3" length="75633743" type="audio/mpeg"/>
        <itunes:summary><![CDATA[Nagaraja Srivatsan, founder of the consulting firm Vidya Seva, sits down with Amar Drawid to discuss the application of data analytics and AI to healthcare and the life sciences, how it has evolved, and why it will be a competitive differentiator for companies that successfully capitalize the potential of these technologies.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>3106</itunes:duration>
                <itunes:episode>4</itunes:episode>
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    <item>
        <title>Making Undruggable Targets a Thing of the Past</title>
        <itunes:title>Making Undruggable Targets a Thing of the Past</itunes:title>
        <link>https://LSDNA.podbean.com/e/making-undruggable-targets-a-thing-of-the-past/</link>
                    <comments>https://LSDNA.podbean.com/e/making-undruggable-targets-a-thing-of-the-past/#comments</comments>        <pubDate>Thu, 14 Mar 2024 00:00:00 -0700</pubDate>
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                                    <description><![CDATA[<p>Jen Nwankwo, CEO of 1910 Genetics, sits down with Amar Drawid to discuss her company’s approach to AI drug discovery, how it is seeking to address big challenges that plague the industry, and why the company is agnostic to drug modality. </p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Jen Nwankwo, CEO of 1910 Genetics, sits down with Amar Drawid to discuss her company’s approach to AI drug discovery, how it is seeking to address big challenges that plague the industry, and why the company is agnostic to drug modality. </p>
]]></content:encoded>
                                    
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        <itunes:summary><![CDATA[Jen Nwankwo, CEO of 1910 Genetics, sits down with Amar Drawid to discuss her company’s approach to AI drug discovery, how it is seeking to address big challenges that plague the industry, and why the company is agnostic to drug modality. ]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2984</itunes:duration>
                <itunes:episode>3</itunes:episode>
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    <item>
        <title>Using AI to Revolutionize Precision Oncology</title>
        <itunes:title>Using AI to Revolutionize Precision Oncology</itunes:title>
        <link>https://LSDNA.podbean.com/e/using-ai-to-revolutionize-precision-oncology/</link>
                    <comments>https://LSDNA.podbean.com/e/using-ai-to-revolutionize-precision-oncology/#comments</comments>        <pubDate>Thu, 22 Feb 2024 00:00:00 -0800</pubDate>
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                                    <description><![CDATA[<p>In this episode Tuvik Beker, CEO of Pangea Biomed, sits down with Dr. Amar Drawid to discuss the evolution of precision medicine, the challenges in matching the right drugs to the right patient, and how Pangea uses AI to analyze expression data and gene interaction maps to select the most effective drugs for individual patients.</p>
]]></description>
                                                            <content:encoded><![CDATA[<p>In this episode Tuvik Beker, CEO of Pangea Biomed, sits down with Dr. Amar Drawid to discuss the evolution of precision medicine, the challenges in matching the right drugs to the right patient, and how Pangea uses AI to analyze expression data and gene interaction maps to select the most effective drugs for individual patients.</p>
]]></content:encoded>
                                    
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        <itunes:summary><![CDATA[In this episode Tuvik Beker, CEO of Pangea Biomed, sits down with Dr. Amar Drawid to discuss the evolution of precision medicine, the challenges in matching the right drugs to the right patient, and how Pangea uses AI to analyze expression data and gene interaction maps to select the most effective drugs for individual patients.]]></itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
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        <itunes:block>No</itunes:block>
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                <itunes:episode>2</itunes:episode>
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    <item>
        <title>Leveraging Data Analytics to Enhance Biopharma Sales</title>
        <itunes:title>Leveraging Data Analytics to Enhance Biopharma Sales</itunes:title>
        <link>https://LSDNA.podbean.com/e/leveraging-data-analytics-to-enhance-biopharma-sales/</link>
                    <comments>https://LSDNA.podbean.com/e/leveraging-data-analytics-to-enhance-biopharma-sales/#comments</comments>        <pubDate>Tue, 30 Jan 2024 17:36:38 -0800</pubDate>
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                                    <description><![CDATA[<p>Data analytics has evolved significantly in the pharmaceutical industry, providing sales professionals with better insights and decision-making capabilities. On this episode, Dr. Amar Drawid sits down with 40-year biopharmaceutical industry veteran Jonathan Blutfield, principal consultant with TriRadial Solutions, to discuss the evolution of data analytics for commercial teams, how sales reps play a vital role in personalizing interactions with healthcare professionals, and how companies can enhance the effectiveness of data analytics tools and integrate them into their sales strategies.</p>





]]></description>
                                                            <content:encoded><![CDATA[<p>Data analytics has evolved significantly in the pharmaceutical industry, providing sales professionals with better insights and decision-making capabilities. On this episode, Dr. Amar Drawid sits down with 40-year biopharmaceutical industry veteran Jonathan Blutfield, principal consultant with TriRadial Solutions, to discuss the evolution of data analytics for commercial teams, how sales reps play a vital role in personalizing interactions with healthcare professionals, and how companies can enhance the effectiveness of data analytics tools and integrate them into their sales strategies.</p>





]]></content:encoded>
                                    
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        <itunes:summary>Dr. Amar Drawid sits down with 40-year biopharmaceutical industry veteran Jonathan Blutfield, principal consultant with TriRadial Solutions, to discuss the evolution of data analytics for commercial teams, how sales reps play a vital role in personalizing interactions with healthcare professionals, and how companies can enhance the effectiveness of data analytics tools and integrate them into their sales strategies.</itunes:summary>
        <itunes:author>Levine Media Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>2411</itunes:duration>
                <itunes:episode>1</itunes:episode>
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        <itunes:image href="https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog17992013/LSDNA_-_10-24_logo_q7rx3a.jpg" />    </item>
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