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    <title>The Lancet Digital Health in conversation with</title>
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    <description><![CDATA[<p>The Lancet Digital Health editors, in conversation with the journal’s authors, explore their latest research and its impact on people’s health, health care, and health policy. A monthly audio companion to this open access journal, this podcast covers a broad range of topics, from using machine learning to predict mortality in prostate cancer and the need for feminist intersectionality in digital health, to how algorithms can predict a patient's race from medical data, and more.</p>]]></description>
    <pubDate>Fri, 09 May 2025 00:00:00 +0200</pubDate>
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    <language>en</language>
        <copyright>© 2026 The Lancet Group</copyright>
    <category>Health &amp; Fitness:Medicine</category>
    <ttl>1440</ttl>
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          <itunes:summary></itunes:summary>
        <itunes:author>The Lancet Group</itunes:author>
	<itunes:category text="Health &amp; Fitness">
		<itunes:category text="Medicine" />
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        <itunes:name>The Lancet Group</itunes:name>
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        <title>The Lancet Digital Health in conversation with</title>
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    <item>
        <title>Hugo Aerts and Ray Mak on FaceAge</title>
        <itunes:title>Hugo Aerts and Ray Mak on FaceAge</itunes:title>
        <link>https://lancetdh.podbean.com/e/hugo-aerts-and-ray-mak-on-faceage/</link>
                    <comments>https://lancetdh.podbean.com/e/hugo-aerts-and-ray-mak-on-faceage/#comments</comments>        <pubDate>Fri, 09 May 2025 00:00:00 +0200</pubDate>
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                                    <description><![CDATA[<p>Hugo Aerts and Ray Mak from Mass General Brigham join Lucy Dunbar to discuss FaceAge, a deep learning tool that estimates biological age from simple face photographs, and its implications in aiding clinicians in predicting prognoses for people with cancer.</p>
<p>Read the full article:</p>
<p><a href='https://www.thelancet.com/journals/landig/article/PIIS2589-7500(25)00042-1/fulltext?dgcid=buzzsprout_icw_podcast_01-05-25_landig'>https://www.thelancet.com/journals/landig/article/PIIS2589-7500(25)00042-1/fulltext?dgcid=buzzsprout_icw_podcast_01-05-25_landig</a></p>
<p>Continue this conversation on social!
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<a href='https://www.youtube.com/thelancettv'>https://youtube.com/thelancettv</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Hugo Aerts and Ray Mak from Mass General Brigham join Lucy Dunbar to discuss FaceAge, a deep learning tool that estimates biological age from simple face photographs, and its implications in aiding clinicians in predicting prognoses for people with cancer.</p>
<p>Read the full article:</p>
<p><a href='https://www.thelancet.com/journals/landig/article/PIIS2589-7500(25)00042-1/fulltext?dgcid=buzzsprout_icw_podcast_01-05-25_landig'>https://www.thelancet.com/journals/landig/article/PIIS2589-7500(25)00042-1/fulltext?dgcid=buzzsprout_icw_podcast_01-05-25_landig</a></p>
<p>Continue this conversation on social!<br>
Follow us today at...<br>
<a href='https://thelancet.bsky.social/'>https://thelancet.bsky.social/</a><br>
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<a href='https://www.youtube.com/thelancettv'>https://youtube.com/thelancettv</a></p>
]]></content:encoded>
                                    
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        <itunes:summary>Hugo Aerts and Ray Mak from Mass General Brigham join Lucy Dunbar to discuss FaceAge, a deep learning tool that estimates biological age from simple face photographs, and its implications in aiding clinicians in predicting prognoses for people with cancer. Read the full article: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(25)00042-1/fulltext?dgcid=buzzsprout_icw_podcast_01-05-25_landig Continue this conversation on social! Follow us today at... https://thelancet.bsky.socia...</itunes:summary>
        <itunes:author>The Lancet Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1350</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Mohamed Omar on pathology and generative AI</title>
        <itunes:title>Mohamed Omar on pathology and generative AI</itunes:title>
        <link>https://lancetdh.podbean.com/e/mohamed-omar-on-pathology-and-generative-ai/</link>
                    <comments>https://lancetdh.podbean.com/e/mohamed-omar-on-pathology-and-generative-ai/#comments</comments>        <pubDate>Wed, 28 Aug 2024 00:00:00 +0200</pubDate>
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                                    <description><![CDATA[<p>Mohamed Omar joins The Lancet Digital Health to discuss pathology and generative AI from a Digital Health Perspective. We explore expert journeys, AI applications in diagnostics, GPT-4's role, integration challenges, ethical considerations, democratisation of knowledge, and future advancements in the field.

Read the full article:
<a href='https://www.thelancet.com/journals/landig/article/PIIS2589-7500(24)00114-6/fulltext?dgcid=buzzsprout_icw_podcast_generic_landig'>https://www.thelancet.com/journals/landig/article/PIIS2589-7500(24)00114-6/fulltext?dgcid=buzzsprout_icw_podcast_generic_landig</a></p>
<p>Continue this conversation on social!
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<a href='https://facebook.com/thelancetmedicaljournal'>https://facebook.com/thelancetmedicaljournal</a>
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<a href='https://www.youtube.com/thelancettv'>https://youtube.com/thelancettv</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Mohamed Omar joins <em>The Lancet Digital Health</em> to discuss pathology and generative AI from a Digital Health Perspective. We explore expert journeys, AI applications in diagnostics, GPT-4's role, integration challenges, ethical considerations, democratisation of knowledge, and future advancements in the field.<br>
<br>
Read the full article:<br>
<a href='https://www.thelancet.com/journals/landig/article/PIIS2589-7500(24)00114-6/fulltext?dgcid=buzzsprout_icw_podcast_generic_landig'>https://www.thelancet.com/journals/landig/article/PIIS2589-7500(24)00114-6/fulltext?dgcid=buzzsprout_icw_podcast_generic_landig</a></p>
<p>Continue this conversation on social!<br>
Follow us today at...<br>
<a href='https://thelancet.bsky.social/'>https://thelancet.bsky.social/</a><br>
<a href='https://instagram.com/thelancetgroup'>https://instagram.com/thelancetgroup</a><br>
<a href='https://facebook.com/thelancetmedicaljournal'>https://facebook.com/thelancetmedicaljournal</a><br>
<a href='https://linkedin.com/company/the-lancet'>https://linkedIn.com/company/the-lancet</a><br>
<a href='https://www.youtube.com/thelancettv'>https://youtube.com/thelancettv</a></p>
]]></content:encoded>
                                    
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        <itunes:summary>Mohamed Omar joins The Lancet Digital Health to discuss pathology and generative AI from a Digital Health Perspective. We explore expert journeys, AI applications in diagnostics, GPT-4's role, integration challenges, ethical considerations, democratisation of knowledge, and future advancements in the field.  Read the full article: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(24)00114-6/fulltext?dgcid=buzzsprout_icw_podcast_generic_landig Continue this conversation on social...</itunes:summary>
        <itunes:author>The Lancet Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1104</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Judith Bonnes on detecting cardiac arrest using wearable technology</title>
        <itunes:title>Judith Bonnes on detecting cardiac arrest using wearable technology</itunes:title>
        <link>https://lancetdh.podbean.com/e/judith-bonnes-on-detecting-cardiac-arrest-using-wearable-technology/</link>
                    <comments>https://lancetdh.podbean.com/e/judith-bonnes-on-detecting-cardiac-arrest-using-wearable-technology/#comments</comments>        <pubDate>Thu, 07 Mar 2024 12:00:00 +0100</pubDate>
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                                    <description><![CDATA[<p>Developing and validating an algorithm for automated circulatory arrest detection with wrist-derived photoplethysmography with Judith Bonnes from the Department of Cardiology of the Radboud University Medical Center - Netherlands.

Read the full article:
<a href='https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00249-2/fulltext?dgcid=buzzsprout_icw_podcast_generic_landig'>https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00249-2/fulltext?dgcid=buzzsprout_icw_podcast_generic_landig</a></p>
<p>Continue this conversation on social!
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<a href='https://thelancet.bsky.social/'>https://thelancet.bsky.social/</a>
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<a href='https://facebook.com/thelancetmedicaljournal'>https://facebook.com/thelancetmedicaljournal</a>
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<a href='https://www.youtube.com/thelancettv'>https://youtube.com/thelancettv</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Developing and validating an algorithm for automated circulatory arrest detection with wrist-derived photoplethysmography with Judith Bonnes from the Department of Cardiology of the Radboud University Medical Center - Netherlands.<br>
<br>
Read the full article:<br>
<a href='https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00249-2/fulltext?dgcid=buzzsprout_icw_podcast_generic_landig'>https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00249-2/fulltext?dgcid=buzzsprout_icw_podcast_generic_landig</a></p>
<p>Continue this conversation on social!<br>
Follow us today at...<br>
<a href='https://thelancet.bsky.social/'>https://thelancet.bsky.social/</a><br>
<a href='https://instagram.com/thelancetgroup'>https://instagram.com/thelancetgroup</a><br>
<a href='https://facebook.com/thelancetmedicaljournal'>https://facebook.com/thelancetmedicaljournal</a><br>
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<a href='https://www.youtube.com/thelancettv'>https://youtube.com/thelancettv</a></p>
]]></content:encoded>
                                    
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        <itunes:summary>Developing and validating an algorithm for automated circulatory arrest detection with wrist-derived photoplethysmography with Judith Bonnes from the Department of Cardiology of the Radboud University Medical Center - Netherlands.  Read the full article: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00249-2/fulltext?dgcid=buzzsprout_icw_podcast_generic_landig Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/t...</itunes:summary>
        <itunes:author>The Lancet Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1042</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Andrew Soltan on federated learning systems</title>
        <itunes:title>Andrew Soltan on federated learning systems</itunes:title>
        <link>https://lancetdh.podbean.com/e/andrew-soltan-on-federated-learning-systems/</link>
                    <comments>https://lancetdh.podbean.com/e/andrew-soltan-on-federated-learning-systems/#comments</comments>        <pubDate>Thu, 25 Jan 2024 00:00:00 +0100</pubDate>
        <guid isPermaLink="false">Buzzsprout-14362209</guid>
                                    <description><![CDATA[<p>Dr Andrew Soltan joins Dr Lucy Dunbar to discuss the development, testing and deployment of a federated learning system across four UK hospital groups.</p>
<p>Continue this conversation on social!
Follow us today at...
<a href='https://thelancet.bsky.social/'>https://thelancet.bsky.social/</a>
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<a href='https://www.youtube.com/thelancettv'>https://youtube.com/thelancettv</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Dr Andrew Soltan joins Dr Lucy Dunbar to discuss the development, testing and deployment of a federated learning system across four UK hospital groups.</p>
<p>Continue this conversation on social!<br>
Follow us today at...<br>
<a href='https://thelancet.bsky.social/'>https://thelancet.bsky.social/</a><br>
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<a href='https://www.youtube.com/thelancettv'>https://youtube.com/thelancettv</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/adt4ruzgna5pqiuf/1177715_episodes_14362209-andrew-soltan-on-federated-learning-systems.mp3" length="10327449" type="audio/mpeg"/>
        <itunes:summary>Dr Andrew Soltan joins Dr Lucy Dunbar to discuss the development, testing and deployment of a federated learning system across four UK hospital groups. Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/company/the-lancet https://youtube.com/thelancettv</itunes:summary>
        <itunes:author>The Lancet Group</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>858</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Mamatha Bhat on deep learning for predicting liver graft fibrosis</title>
        <itunes:title>Mamatha Bhat on deep learning for predicting liver graft fibrosis</itunes:title>
        <link>https://lancetdh.podbean.com/e/mamatha-bhat-on-deep-learning-for-predicting-liver-graft-fibrosis/</link>
                    <comments>https://lancetdh.podbean.com/e/mamatha-bhat-on-deep-learning-for-predicting-liver-graft-fibrosis/#comments</comments>        <pubDate>Tue, 23 May 2023 11:00:00 +0200</pubDate>
        <guid isPermaLink="false">Buzzsprout-12868570</guid>
                                    <description><![CDATA[<p>Dr Mamatha Bhat joins Dr Lucy Dunbar to discuss the development of deep learning algorithms in predicting risk of significant fibrosis after liver transplantation.

Read the full article:
<a href='https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00068-7/fulltext?dgcid=buzzsprout_icw_podcast_general_landig'>https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00068-7/fulltext?dgcid=buzzsprout_icw_podcast_general_landig</a></p>
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]]></description>
                                                            <content:encoded><![CDATA[<p>Dr Mamatha Bhat joins Dr Lucy Dunbar to discuss the development of deep learning algorithms in predicting risk of significant fibrosis after liver transplantation.<br>
<br>
Read the full article:<br>
<a href='https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00068-7/fulltext?dgcid=buzzsprout_icw_podcast_general_landig'>https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00068-7/fulltext?dgcid=buzzsprout_icw_podcast_general_landig</a></p>
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<a href='https://thelancet.bsky.social/'>https://thelancet.bsky.social/</a><br>
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<a href='https://www.youtube.com/thelancettv'>https://youtube.com/thelancettv</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/92qrijl1zfdvdutm/1177715_episodes_12868570-mamatha-bhat-on-deep-learning-for-predicting-liver-graft-fibrosis.mp3" length="14679111" type="audio/mpeg"/>
        <itunes:summary>Dr Mamatha Bhat joins Dr Lucy Dunbar to discuss the development of deep learning algorithms in predicting risk of significant fibrosis after liver transplantation.  Read the full article: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(23)00068-7/fulltext?dgcid=buzzsprout_icw_podcast_general_landig Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://...</itunes:summary>
        <itunes:author>The Lancet Digital Health</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1216</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Xiao Liu on AI-based clinical research studies</title>
        <itunes:title>Xiao Liu on AI-based clinical research studies</itunes:title>
        <link>https://lancetdh.podbean.com/e/xiao-liu-on-ai-based-clinical-research-studies/</link>
                    <comments>https://lancetdh.podbean.com/e/xiao-liu-on-ai-based-clinical-research-studies/#comments</comments>        <pubDate>Tue, 21 Mar 2023 13:00:00 +0100</pubDate>
        <guid isPermaLink="false">Buzzsprout-12484486</guid>
                                    <description><![CDATA[<p>Xiao Liu joins Diana Samuel to discuss how to improve the reporting of artificial intelligence-based clinical research studies and the representativeness of health datasets.</p>
<p>Continue this conversation on social!
Follow us today at...
<a href='https://thelancet.bsky.social/'>https://thelancet.bsky.social/</a>
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]]></description>
                                                            <content:encoded><![CDATA[<p>Xiao Liu joins Diana Samuel to discuss how to improve the reporting of artificial intelligence-based clinical research studies and the representativeness of health datasets.</p>
<p>Continue this conversation on social!<br>
Follow us today at...<br>
<a href='https://thelancet.bsky.social/'>https://thelancet.bsky.social/</a><br>
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<a href='https://www.youtube.com/thelancettv'>https://youtube.com/thelancettv</a></p>
]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/u7exqlndy1gh4p73/1177715_episodes_12484486-xiao-liu-on-ai-based-clinical-research-studies.mp3" length="15649054" type="audio/mpeg"/>
        <itunes:summary>Xiao Liu joins Diana Samuel to discuss how to improve the reporting of artificial intelligence-based clinical research studies and the representativeness of health datasets. Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/company/the-lancet https://youtube.com/thelancettv</itunes:summary>
        <itunes:author>The Lancet Digital Health</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1301</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Ashleigh Myall on predicting hospital-onset COVID-19 infections</title>
        <itunes:title>Ashleigh Myall on predicting hospital-onset COVID-19 infections</itunes:title>
        <link>https://lancetdh.podbean.com/e/ashleigh-myall-on-predicting-hospital-onset-covid-19-infections/</link>
                    <comments>https://lancetdh.podbean.com/e/ashleigh-myall-on-predicting-hospital-onset-covid-19-infections/#comments</comments>        <pubDate>Wed, 20 Jul 2022 00:00:00 +0200</pubDate>
        <guid isPermaLink="false">Buzzsprout-10991600</guid>
                                    <description><![CDATA[<p>Ashleigh Myall joins Diana Samuel to discuss a new machine-learning framework that integrates dynamic patient-contact networks with patient clinical variables and contextual hospital variables to predict hospital-onset COVID-19 infections.

Read the full article:
<a href='https://www.thelancet.com/journals/landig/article/PIIS2589-7500(22)00093-0/fulltext'>Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact</a></p>
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]]></description>
                                                            <content:encoded><![CDATA[<p>Ashleigh Myall joins Diana Samuel to discuss a new machine-learning framework that integrates dynamic patient-contact networks with patient clinical variables and contextual hospital variables to predict hospital-onset COVID-19 infections.<br>
<br>
Read the full article:<br>
<a href='https://www.thelancet.com/journals/landig/article/PIIS2589-7500(22)00093-0/fulltext'>Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact</a></p>
<p>Continue this conversation on social!<br>
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]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/kn0hdh224ddtzfbc/1177715_episodes_10991600-ashleigh-myall-on-predicting-hospital-onset-covid-19-infections.mp3" length="13475213" type="audio/mpeg"/>
        <itunes:summary>Ashleigh Myall joins Diana Samuel to discuss a new machine-learning framework that integrates dynamic patient-contact networks with patient clinical variables and contextual hospital variables to predict hospital-onset COVID-19 infections.  Read the full article: Prediction of hospital-onset COVID-19 infections using dynamic networks of patient contact Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebo...</itunes:summary>
        <itunes:author>The Lancet Digital Health</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1120</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Reading race</title>
        <itunes:title>Reading race</itunes:title>
        <link>https://lancetdh.podbean.com/e/reading-race/</link>
                    <comments>https://lancetdh.podbean.com/e/reading-race/#comments</comments>        <pubDate>Thu, 12 May 2022 00:00:00 +0200</pubDate>
        <guid isPermaLink="false">Buzzsprout-10464720</guid>
                                    <description><![CDATA[<p>Judy Gichoya, Leo Celi and Laleh Seyyed-Kalantari join Rupa Sarkar to discuss how algorithms can predict a patient's race from medical data.</p>
<p>Continue this conversation on social!
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]]></description>
                                                            <content:encoded><![CDATA[<p>Judy Gichoya, Leo Celi and Laleh Seyyed-Kalantari join Rupa Sarkar to discuss how algorithms can predict a patient's race from medical data.</p>
<p>Continue this conversation on social!<br>
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]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/3quezuz7raq0sakz/1177715_episodes_10464720-reading-race.mp3" length="22847189" type="audio/mpeg"/>
        <itunes:summary>Judy Gichoya, Leo Celi and Laleh Seyyed-Kalantari join Rupa Sarkar to discuss how algorithms can predict a patient's race from medical data. Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/company/the-lancet https://youtube.com/thelancettv</itunes:summary>
        <itunes:author>The Lancet Digital Health</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1901</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Caroline Figueroa on the need for feminist intersectionality in digital health</title>
        <itunes:title>Caroline Figueroa on the need for feminist intersectionality in digital health</itunes:title>
        <link>https://lancetdh.podbean.com/e/caroline-figueroa-on-the-need-for-feminist-intersectionality-in-digital-health/</link>
                    <comments>https://lancetdh.podbean.com/e/caroline-figueroa-on-the-need-for-feminist-intersectionality-in-digital-health/#comments</comments>        <pubDate>Tue, 27 Jul 2021 00:00:00 +0200</pubDate>
        <guid isPermaLink="false">Buzzsprout-8893256</guid>
                                    <description><![CDATA[<p>Dr Caroline Figueroa and Dr Rupa Sarkar talk about the social and economic fallout from COVID-19 which has further exacerbated gender inequities and the need for a feminist outlook in digital health. 

Read the full article:
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(21)00118-7/fulltext</p>
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]]></description>
                                                            <content:encoded><![CDATA[<p>Dr Caroline Figueroa and Dr Rupa Sarkar talk about the social and economic fallout from COVID-19 which has further exacerbated gender inequities and the need for a feminist outlook in digital health. <br>
<br>
Read the full article:<br>
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(21)00118-7/fulltext</p>
<p>Continue this conversation on social!<br>
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]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/p3foau9d0mhnnu4f/1177715_episodes_8893256-caroline-figueroa-on-the-need-for-feminist-intersectionality-in-digital-health.mp3" length="9590074" type="audio/mpeg"/>
        <itunes:summary>Dr Caroline Figueroa and Dr Rupa Sarkar talk about the social and economic fallout from COVID-19 which has further exacerbated gender inequities and the need for a feminist outlook in digital health.   Read the full article: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(21)00118-7/fulltext Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://li...</itunes:summary>
        <itunes:author>The Lancet Digital Health</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>796</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Mihaela van der Schaar and Vincent J Gnanapragasam on predicting mortality in prostate cancer</title>
        <itunes:title>Mihaela van der Schaar and Vincent J Gnanapragasam on predicting mortality in prostate cancer</itunes:title>
        <link>https://lancetdh.podbean.com/e/mihaela-van-der-schaar-and-vincent-j-gnanapragasam-on-predicting-mortality-in-prostate-cancer/</link>
                    <comments>https://lancetdh.podbean.com/e/mihaela-van-der-schaar-and-vincent-j-gnanapragasam-on-predicting-mortality-in-prostate-cancer/#comments</comments>        <pubDate>Mon, 15 Feb 2021 18:00:00 +0100</pubDate>
        <guid isPermaLink="false">Buzzsprout-7880923</guid>
                                    <description><![CDATA[<p>Mihaela van der Schaar and Vincent J Gnanapragasam join Diana Samuel to discuss a new machine learning-based prognostic model for prediction of 10-year mortality from non-metastatic prostate cancer.

Read full article:
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30314-9/fulltext</p>
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]]></description>
                                                            <content:encoded><![CDATA[<p>Mihaela van der Schaar and Vincent J Gnanapragasam join Diana Samuel to discuss a new machine learning-based prognostic model for prediction of 10-year mortality from non-metastatic prostate cancer.<br>
<br>
Read full article:<br>
https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30314-9/fulltext</p>
<p>Continue this conversation on social!<br>
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]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/ebf0yl51howcoobs/1177715_episodes_7880923-mihaela-van-der-schaar-and-vincent-j-gnanapragasam-on-predicting-mortality-in-prostate-cancer.mp3" length="14960461" type="audio/mpeg"/>
        <itunes:summary>Mihaela van der Schaar and Vincent J Gnanapragasam join Diana Samuel to discuss a new machine learning-based prognostic model for prediction of 10-year mortality from non-metastatic prostate cancer.  Read full article: https://www.thelancet.com/journals/landig/article/PIIS2589-7500(20)30314-9/fulltext Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/...</itunes:summary>
        <itunes:author>The Lancet Digital Health</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1244</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Vence Bonham on diversity and impact in genomic research</title>
        <itunes:title>Vence Bonham on diversity and impact in genomic research</itunes:title>
        <link>https://lancetdh.podbean.com/e/vence-bonham-on-diversity-and-impact-in-genomic-research/</link>
                    <comments>https://lancetdh.podbean.com/e/vence-bonham-on-diversity-and-impact-in-genomic-research/#comments</comments>        <pubDate>Wed, 02 Dec 2020 15:00:00 +0100</pubDate>
        <guid isPermaLink="false">Buzzsprout-6654724</guid>
                                    <description><![CDATA[<p>Vence Bonham joins Diana Samuel to discuss the impact of genomics and precision medicine on health disparities, and the need for greater diversity in genomic research studies.</p>
<p>Continue this conversation on social!
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]]></description>
                                                            <content:encoded><![CDATA[<p>Vence Bonham joins Diana Samuel to discuss the impact of genomics and precision medicine on health disparities, and the need for greater diversity in genomic research studies.</p>
<p>Continue this conversation on social!<br>
Follow us today at...<br>
<a href='https://thelancet.bsky.social/'>https://thelancet.bsky.social/</a><br>
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]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/rigv1mdgzvk1mm5r/1177715_episodes_6654724-vence-bonham-on-diversity-and-impact-in-genomic-research.mp3" length="5888889" type="audio/mpeg"/>
        <itunes:summary>Vence Bonham joins Diana Samuel to discuss the impact of genomics and precision medicine on health disparities, and the need for greater diversity in genomic research studies. Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/company/the-lancet https://youtube.com/thelancettv</itunes:summary>
        <itunes:author>The Lancet Digital Health</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>488</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Deepti Gurdasani on health data, AI, and COVID-19</title>
        <itunes:title>Deepti Gurdasani on health data, AI, and COVID-19</itunes:title>
        <link>https://lancetdh.podbean.com/e/deepti-gurdasani-on-health-data-ai-and-covid-19/</link>
                    <comments>https://lancetdh.podbean.com/e/deepti-gurdasani-on-health-data-ai-and-covid-19/#comments</comments>        <pubDate>Wed, 02 Dec 2020 15:00:00 +0100</pubDate>
        <guid isPermaLink="false">Buzzsprout-6654706</guid>
                                    <description><![CDATA[<p>Deepti Gurdasani joins Rupa Sarkar to discuss bias and inequalities in health data and artificial intelligence and the impact of COVID-19.</p>
<p>Continue this conversation on social!
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]]></description>
                                                            <content:encoded><![CDATA[<p>Deepti Gurdasani joins Rupa Sarkar to discuss bias and inequalities in health data and artificial intelligence and the impact of COVID-19.</p>
<p>Continue this conversation on social!<br>
Follow us today at...<br>
<a href='https://thelancet.bsky.social/'>https://thelancet.bsky.social/</a><br>
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]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/wjei7lw3m4o4zl0t/1177715_episodes_6654706-deepti-gurdasani-on-health-data-ai-and-covid-19.mp3" length="17654627" type="audio/mpeg"/>
        <itunes:summary>Deepti Gurdasani joins Rupa Sarkar to discuss bias and inequalities in health data and artificial intelligence and the impact of COVID-19. Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/company/the-lancet https://youtube.com/thelancettv</itunes:summary>
        <itunes:author>The Lancet Digital Health</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>1468</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Maimuna S Majumder on COVID-19 misinformation online</title>
        <itunes:title>Maimuna S Majumder on COVID-19 misinformation online</itunes:title>
        <link>https://lancetdh.podbean.com/e/maimuna-s-majumder-on-covid-19-misinformation-online/</link>
                    <comments>https://lancetdh.podbean.com/e/maimuna-s-majumder-on-covid-19-misinformation-online/#comments</comments>        <pubDate>Mon, 26 Oct 2020 16:00:00 +0100</pubDate>
        <guid isPermaLink="false">Buzzsprout-6069211</guid>
                                    <description><![CDATA[<p>Maimuna S Majumder joins Diana Samuel to discuss how misinformation on COVID-19 can influence the public’s online search interests, and the potential impact this can have on their health.</p>
<p>Continue this conversation on social!
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<a href='https://www.youtube.com/thelancettv'>https://youtube.com/thelancettv</a></p>
]]></description>
                                                            <content:encoded><![CDATA[<p>Maimuna S Majumder joins Diana Samuel to discuss how misinformation on COVID-19 can influence the public’s online search interests, and the potential impact this can have on their health.</p>
<p>Continue this conversation on social!<br>
Follow us today at...<br>
<a href='https://thelancet.bsky.social/'>https://thelancet.bsky.social/</a><br>
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]]></content:encoded>
                                    
        <enclosure url="https://mcdn.podbean.com/mf/web/dmyf2lzquwtrd7t1/1177715_episodes_6069211-maimuna-s-majumder-on-covid-19-misinformation-online.mp3" length="5167909" type="audio/mpeg"/>
        <itunes:summary>Maimuna S Majumder joins Diana Samuel to discuss how misinformation on COVID-19 can influence the public’s online search interests, and the potential impact this can have on their health. Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/company/the-lancet https://youtube.com/thelancettv</itunes:summary>
        <itunes:author>The Lancet Digital Health</itunes:author>
        <itunes:explicit>false</itunes:explicit>
        <itunes:block>No</itunes:block>
        <itunes:duration>428</itunes:duration>
                        <itunes:episodeType>full</itunes:episodeType>
            </item>
    <item>
        <title>Sara Gerke and Timo Minssen on AI in healthcare</title>
        <itunes:title>Sara Gerke and Timo Minssen on AI in healthcare</itunes:title>
        <link>https://lancetdh.podbean.com/e/sara-gerke-and-timo-minssen-on-ai-in-healthcare/</link>
                    <comments>https://lancetdh.podbean.com/e/sara-gerke-and-timo-minssen-on-ai-in-healthcare/#comments</comments>        <pubDate>Tue, 23 Jun 2020 15:00:00 +0200</pubDate>
        <guid isPermaLink="false">Buzzsprout-4285259</guid>
                                    <description><![CDATA[<p>Sara Gerke and Timo Minssen join Diana Samuel to discuss the European Commission’s white paper on artificial intelligence (published in February 2020), and the challenges of implementing the outlined approach in healthcare.</p>
<p>Continue this conversation on social!
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]]></description>
                                                            <content:encoded><![CDATA[<p>Sara Gerke and Timo Minssen join Diana Samuel to discuss the European Commission’s white paper on artificial intelligence (published in February 2020), and the challenges of implementing the outlined approach in healthcare.</p>
<p>Continue this conversation on social!<br>
Follow us today at...<br>
<a href='https://thelancet.bsky.social/'>https://thelancet.bsky.social/</a><br>
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<a href='https://www.youtube.com/thelancettv'>https://youtube.com/thelancettv</a></p>
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        <itunes:summary>Sara Gerke and Timo Minssen join Diana Samuel to discuss the European Commission’s white paper on artificial intelligence (published in February 2020), and the challenges of implementing the outlined approach in healthcare. Continue this conversation on social! Follow us today at... https://thelancet.bsky.social/ https://instagram.com/thelancetgroup https://facebook.com/thelancetmedicaljournal https://linkedIn.com/company/the-lancet https://youtube.com/thelancettv</itunes:summary>
        <itunes:author>The Lancet Digital Health</itunes:author>
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        <itunes:duration>1468</itunes:duration>
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