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<rss xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:podcast="https://podcastindex.org/namespace/1.0" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>The Digital Twin Theory</title><link>https://www.spreaker.com/podcast/the-digital-twin-theory--6097906</link><description><![CDATA[The Digital Twin Theory is a podcast about digital innovation in healthcare produced by VPH- The society for in silico medicine. In each episode, we will discover more about in silico medicine with a wide range of experts such as doctors, engineers, policymakers, philosophers, patients and social scientists.<br /><br />If you wish to suggest a new topic or questions for our experts, email us at social@vph-institute.org.]]></description><atom:link href="https://www.spreaker.com/show/6097906/episodes/feed" rel="self" type="application/rss+xml"/><language>en</language><category>Medicine</category><copyright>VPH- The Society for In Silico Medicine</copyright><image><url>https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/43323ff22e58c3607fa40ce268c5cc4f.jpg</url><title>The Digital Twin Theory</title><link>https://www.spreaker.com/podcast/the-digital-twin-theory--6097906</link></image><lastBuildDate>Fri, 24 Jul 2026 11:50:45 +0000</lastBuildDate><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:owner><itunes:name>VPH- The Society for In Silico Medicine</itunes:name><itunes:email>social@vph-institute.org</itunes:email></itunes:owner><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/43323ff22e58c3607fa40ce268c5cc4f.jpg"/><itunes:subtitle>The Digital Twin Theory is a podcast about digital innovation in healthcare produced by VPH- The society for in silico medicine. In each episode, we will discover more about in silico medicine with a wide range of experts such as doctors, engineers,...</itunes:subtitle><itunes:summary><![CDATA[The Digital Twin Theory is a podcast about digital innovation in healthcare produced by VPH- The society for in silico medicine. In each episode, we will discover more about in silico medicine with a wide range of experts such as doctors, engineers, policymakers, philosophers, patients and social scientists.<br /><br />If you wish to suggest a new topic or questions for our experts, email us at social@vph-institute.org.]]></itunes:summary><itunes:category text="Health &amp; Fitness"><itunes:category text="Medicine"/></itunes:category><itunes:category text="Technology"/><itunes:category text="Science"/><itunes:explicit>false</itunes:explicit><itunes:type>episodic</itunes:type><item><title>Episode 25: Computer vision and trustworthy AI (with Chen Chen)</title><link>https://www.spreaker.com/episode/episode-25-computer-vision-and-trustworthy-ai-with-chen-chen--73067812</link><description><![CDATA[Artificial intelligence is rapidly transforming healthcare, but how do we ensure clinicians and patients can trust the algorithms behind it?<br /><br />In this episode of The Digital Twin Theory, we speak with Dr. Chen Chen, Assistant Professor at the University of Sheffield, about the exciting world of computer vision and trustworthy AI.<br /><br />Together, we explore how machines are learning to interpret medical images, why multimodal AI is opening new possibilities for diagnosis and treatment, and what it takes to build intelligent systems that are transparent, reliable and safe for clinical use.<br /><br />Whether you're a researcher, clinician, student or simply curious about the future of digital health, this episode offers an accessible introduction to one of the fastest-growing fields in modern medicine.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/73067812</guid><pubDate>Fri, 24 Jul 2026 11:50:42 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/73067812/interview_chen_chen_mixdown.mp3" length="40067730" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/eb3dc1bd-04ac-4377-8b9c-700673a04fe7/eb3dc1bd-04ac-4377-8b9c-700673a04fe7.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/eb3dc1bd-04ac-4377-8b9c-700673a04fe7/eb3dc1bd-04ac-4377-8b9c-700673a04fe7.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/eb3dc1bd-04ac-4377-8b9c-700673a04fe7/eb3dc1bd-04ac-4377-8b9c-700673a04fe7.vtt" type="text/vtt" language="en"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>Artificial intelligence is rapidly transforming healthcare, but how do we ensure clinicians and patients can trust the algorithms behind it?

In this episode of The Digital Twin Theory, we speak with Dr. Chen Chen, Assistant Professor at the...</itunes:subtitle><itunes:summary><![CDATA[Artificial intelligence is rapidly transforming healthcare, but how do we ensure clinicians and patients can trust the algorithms behind it?<br /><br />In this episode of The Digital Twin Theory, we speak with Dr. Chen Chen, Assistant Professor at the University of Sheffield, about the exciting world of computer vision and trustworthy AI.<br /><br />Together, we explore how machines are learning to interpret medical images, why multimodal AI is opening new possibilities for diagnosis and treatment, and what it takes to build intelligent systems that are transparent, reliable and safe for clinical use.<br /><br />Whether you're a researcher, clinician, student or simply curious about the future of digital health, this episode offers an accessible introduction to one of the fastest-growing fields in modern medicine.]]></itunes:summary><itunes:duration>1669</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/f757fe5dca88b6cd900637dc609e9b2b.jpg"/><itunes:episode>25</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 24: Computer models, AI, and the challenge ovarian cancer (with Marilisa Cortesi)</title><link>https://www.spreaker.com/episode/episode-24-computer-models-ai-and-the-challenge-ovarian-cancer-with-marilisa-cortesi--72647009</link><description><![CDATA[Ovarian cancer remains one of the most complex and challenging cancers to understand and treat. But how can computational models, artificial intelligence, and in silico medicine help researchers and clinicians tackle this disease?<br /><br />In this episode of The Digital Twin Theory, host Davide Montesarchio speaks with <b>Dr. Marilisa Cortesi</b>, biomedical engineer, Marie Skłodowska-Curie Global Fellow, and Assistant Professor at the University of Bologna.<br /><br />Together, we discuss the clinical challenges of ovarian cancer, the integration of computational modelling and experimental research, and the growing role of AI in oncology.<br /><br />The conversation explores the promises and limitations of artificial intelligence, the ongoing debate around the "black box" problem, and the potential of digital twins and virtual patients to transform personalised cancer care.<br /><br />Join us for an insightful discussion on how engineering, biology, and medicine are converging to shape the future of cancer research.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72647009</guid><pubDate>Fri, 26 Jun 2026 14:18:34 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72647009/interview_marilisa_cortesi_mixdown.mp3" length="37621122" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/ef597c4b-8ac7-4633-8aff-b8af93254db1/ef597c4b-8ac7-4633-8aff-b8af93254db1.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/ef597c4b-8ac7-4633-8aff-b8af93254db1/ef597c4b-8ac7-4633-8aff-b8af93254db1.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/ef597c4b-8ac7-4633-8aff-b8af93254db1/ef597c4b-8ac7-4633-8aff-b8af93254db1.vtt" type="text/vtt" language="en"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>Ovarian cancer remains one of the most complex and challenging cancers to understand and treat. But how can computational models, artificial intelligence, and in silico medicine help researchers and clinicians tackle this disease?

In this episode of...</itunes:subtitle><itunes:summary><![CDATA[Ovarian cancer remains one of the most complex and challenging cancers to understand and treat. But how can computational models, artificial intelligence, and in silico medicine help researchers and clinicians tackle this disease?<br /><br />In this episode of The Digital Twin Theory, host Davide Montesarchio speaks with <b>Dr. Marilisa Cortesi</b>, biomedical engineer, Marie Skłodowska-Curie Global Fellow, and Assistant Professor at the University of Bologna.<br /><br />Together, we discuss the clinical challenges of ovarian cancer, the integration of computational modelling and experimental research, and the growing role of AI in oncology.<br /><br />The conversation explores the promises and limitations of artificial intelligence, the ongoing debate around the "black box" problem, and the potential of digital twins and virtual patients to transform personalised cancer care.<br /><br />Join us for an insightful discussion on how engineering, biology, and medicine are converging to shape the future of cancer research.]]></itunes:summary><itunes:duration>1566</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d10d949c5a0f2eefa20edc32b299afe9.jpg"/><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 23: Making innovation come true (with Rossana Alessandrello)</title><link>https://www.spreaker.com/episode/episode-23-making-innovation-come-true-with-rossana-alessandrello--72184068</link><description><![CDATA[Innovation in healthcare does not end with research, regulation, or clinical validation. There is another critical step that often remains invisible: public procurement.<br /><br />How do healthcare systems decide which technologies to adopt? How does innovation move from the lab into real clinical practice? And what role does value-based procurement play in the future of in silico medicine?<br /><br />In this episode, we speak with Rossana Alessandrello, Value Based Procurement Director at AQuAS – Agència de Qualitat i Avaluació Sanitàries de Catalunya, about the complex pathway connecting innovation, healthcare systems, and patient impact.<br /><br />A thoughtful conversation on one of the most important and least discussed aspects of healthcare innovation.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/72184068</guid><pubDate>Fri, 29 May 2026 09:38:53 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/72184068/23_rossana_alessandrello_mixdown5.mp3" length="44784021" type="audio/mpeg"/><podcast:transcript url="https://transcription.spreaker.com/starship/db0b0e03-7555-44b8-84f1-9dd882845f4f/db0b0e03-7555-44b8-84f1-9dd882845f4f.srt" type="application/x-subrip" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/db0b0e03-7555-44b8-84f1-9dd882845f4f/db0b0e03-7555-44b8-84f1-9dd882845f4f.txt" type="text/plain" language="en"/><podcast:transcript url="https://transcription.spreaker.com/starship/db0b0e03-7555-44b8-84f1-9dd882845f4f/db0b0e03-7555-44b8-84f1-9dd882845f4f.vtt" type="text/vtt" language="en"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>Innovation in healthcare does not end with research, regulation, or clinical validation. There is another critical step that often remains invisible: public procurement.

How do healthcare systems decide which technologies to adopt? How does...</itunes:subtitle><itunes:summary><![CDATA[Innovation in healthcare does not end with research, regulation, or clinical validation. There is another critical step that often remains invisible: public procurement.<br /><br />How do healthcare systems decide which technologies to adopt? How does innovation move from the lab into real clinical practice? And what role does value-based procurement play in the future of in silico medicine?<br /><br />In this episode, we speak with Rossana Alessandrello, Value Based Procurement Director at AQuAS – Agència de Qualitat i Avaluació Sanitàries de Catalunya, about the complex pathway connecting innovation, healthcare systems, and patient impact.<br /><br />A thoughtful conversation on one of the most important and least discussed aspects of healthcare innovation.]]></itunes:summary><itunes:duration>1864</itunes:duration><itunes:keywords>ai,computermodels,healthinnovation,procurement</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/cbabe87c58dfb53495da752ba82a4f96.jpg"/><itunes:episode>23</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 22: The right to understand in healthcare AI (with Anshu Ankolekar)</title><link>https://www.spreaker.com/episode/episode-22-the-right-to-understand-in-healthcare-ai-with-anshu-ankolekar--71780447</link><description><![CDATA[In this episode, we speak with Anshu Ankolekar, researcher at the MAASTRO Clinic in the Netherlands, where she works on AI applications in oncology, clinical decision support systems, patient-centered AI design, and healthcare regulation.<br /><br />We explore what it really means AI explainability for patients and clinicians, also touching topics like bringing AI into real-world care, the risk of added workload for clinicians, cognitive biases, and the important of the collaboration between developers, clinicians, and patient advocates.<br /><br />]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/71780447</guid><pubDate>Thu, 30 Apr 2026 15:08:08 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/71780447/22_anshu_ankolekar_mixdown4.mp3" length="57320941" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>In this episode, we speak with Anshu Ankolekar, researcher at the MAASTRO Clinic in the Netherlands, where she works on AI applications in oncology, clinical decision support systems, patient-centered AI design, and healthcare regulation.

We explore...</itunes:subtitle><itunes:summary><![CDATA[In this episode, we speak with Anshu Ankolekar, researcher at the MAASTRO Clinic in the Netherlands, where she works on AI applications in oncology, clinical decision support systems, patient-centered AI design, and healthcare regulation.<br /><br />We explore what it really means AI explainability for patients and clinicians, also touching topics like bringing AI into real-world care, the risk of added workload for clinicians, cognitive biases, and the important of the collaboration between developers, clinicians, and patient advocates.<br /><br />]]></itunes:summary><itunes:duration>1433</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/973806201af3fdfb3a1e4e4cc95e39e7.jpg"/><itunes:episode>22</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 21: Lost in Translation? Bridging the gap between models and medicine (with Morgane Garreau &amp; Christian Kassasseya)</title><link>https://www.spreaker.com/episode/episode-21-lost-in-translation-bridging-the-gap-between-models-and-medicine-with-morgane-garreau-christian-kassasseya--70892814</link><description><![CDATA[A recurring theme that emerged during the production of The Digital Twin Theory is how to bring AI, modelling and simulation into everyday clinical practice.<br /><br />As these technologies mature, this will become one of the key challenges—and opportunities—in healthcare. But the issue is not new. How can modellers develop tools that are not only effective and efficient, but also truly integrated into clinical workflows?<br /><br />At its core, the challenge is communication—and it is far from trivial. Even the word “model” means different things: for clinicians, it often refers to something tangible, like an animal model; for engineers, it is something abstract, living inside a computer.<br /><br />Bridging this gap is essential. Involving clinicians early in the development of new technologies can make all the difference.That’s why we brought together biomedical engineer Morgane Garreau and physician Christian Kassasseya, who work closely together, to share how this collaboration works in practice.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/70892814</guid><pubDate>Mon, 30 Mar 2026 08:29:35 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/70892814/ep_21_garreau_kassasseya_mixdown2.mp3" length="68770064" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>A recurring theme that emerged during the production of The Digital Twin Theory is how to bring AI, modelling and simulation into everyday clinical practice.

As these technologies mature, this will become one of the key challenges—and...</itunes:subtitle><itunes:summary><![CDATA[A recurring theme that emerged during the production of The Digital Twin Theory is how to bring AI, modelling and simulation into everyday clinical practice.<br /><br />As these technologies mature, this will become one of the key challenges—and opportunities—in healthcare. But the issue is not new. How can modellers develop tools that are not only effective and efficient, but also truly integrated into clinical workflows?<br /><br />At its core, the challenge is communication—and it is far from trivial. Even the word “model” means different things: for clinicians, it often refers to something tangible, like an animal model; for engineers, it is something abstract, living inside a computer.<br /><br />Bridging this gap is essential. Involving clinicians early in the development of new technologies can make all the difference.That’s why we brought together biomedical engineer Morgane Garreau and physician Christian Kassasseya, who work closely together, to share how this collaboration works in practice.]]></itunes:summary><itunes:duration>1717</itunes:duration><itunes:keywords>ai,clinicalapplications,computationalmedicine,computermodelling</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c63306372484d7c4463db469a0055fa8.jpg"/><itunes:episode>21</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 20: When one-size-fits-all medicine hurts women (with Blanca Rodriguez)</title><link>https://www.spreaker.com/episode/episode-20-when-one-size-fits-all-medicine-hurts-women-with-blanca-rodriguez--70263164</link><description><![CDATA[In this episode of The Digital Twin Theory, <b>Blanca Rodríguez</b> (University of Oxford) explores sex differences in healthcare and the impact of bias in research and treatment. She explains how digital twins, AI, and computational models can enable sex-aware, personalised medicine, reshaping diagnosis, therapies, and the concept of the “average patient.”]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/70263164</guid><pubDate>Fri, 27 Feb 2026 10:07:09 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/70263164/20_blanca_rodriguez_mixdown3.mp3" length="43223671" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>In this episode of The Digital Twin Theory, Blanca Rodríguez (University of Oxford) explores sex differences in healthcare and the impact of bias in research and treatment. She explains how digital twins, AI, and computational models can enable...</itunes:subtitle><itunes:summary><![CDATA[In this episode of The Digital Twin Theory, <b>Blanca Rodríguez</b> (University of Oxford) explores sex differences in healthcare and the impact of bias in research and treatment. She explains how digital twins, AI, and computational models can enable sex-aware, personalised medicine, reshaping diagnosis, therapies, and the concept of the “average patient.”]]></itunes:summary><itunes:duration>1075</itunes:duration><itunes:keywords>ai,computermodelling,gendermedicine,heartdiseases</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/20728eea45debd80aef7239fed67523f.jpg"/><itunes:episode>20</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 19: Communities at the heart of healthcare (with Jude Kong)</title><link>https://www.spreaker.com/episode/episode-19-communities-at-the-heart-of-healthcare-with-jude-kong--69592116</link><description><![CDATA[Healthcare is about people as much as science. In this episode, we talk with <b>Jude Dzevela Kong</b>, Director of AIMMLab at the University of Toronto and Co-Director of ACADIC, about community-driven approaches to healthcare innovation.<br /><br />Jude explains how involving local communities and patients from problem definition to implementation leads to more effective, inclusive, and sustainable solutions. From empowering local communities to enabling global knowledge exchange, this conversation highlights why scientists must walk alongside communities to ensure healthcare truly leaves no one behind.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/69592116</guid><pubDate>Thu, 29 Jan 2026 13:18:51 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/69592116/tdtt_19_jude_kong_mixdown3.mp3" length="66078387" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>Healthcare is about people as much as science. In this episode, we talk with Jude Dzevela Kong, Director of AIMMLab at the University of Toronto and Co-Director of ACADIC, about community-driven approaches to healthcare innovation.

Jude explains how...</itunes:subtitle><itunes:summary><![CDATA[Healthcare is about people as much as science. In this episode, we talk with <b>Jude Dzevela Kong</b>, Director of AIMMLab at the University of Toronto and Co-Director of ACADIC, about community-driven approaches to healthcare innovation.<br /><br />Jude explains how involving local communities and patients from problem definition to implementation leads to more effective, inclusive, and sustainable solutions. From empowering local communities to enabling global knowledge exchange, this conversation highlights why scientists must walk alongside communities to ensure healthcare truly leaves no one behind.]]></itunes:summary><itunes:duration>1648</itunes:duration><itunes:keywords>ai,computermodelling,digitalhealthcare,engagingcommunities,healthcare</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/af831c2aacf0cce5490e6ba3e3f7563a.jpg"/><itunes:episode>19</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 18: Human motion, resolved (with Scott Delp)</title><link>https://www.spreaker.com/episode/episode-18-human-motion-resolved-with-scott-delp--69133449</link><description><![CDATA[In the final episode of 2025, we sit down with Scott Delp, Professor of Bioengineering, Mechanical Engineering, and Orthopaedic Surgery at Stanford University, and Director of the Wu Tsai Human Performance Alliance and the RESTORE Center.<br /><br />We met Professor Delp at the iSi Health Conference in September 2025, where we recorded a wide-ranging and insightful conversation on the role of in silico medicine in human health and performance. Together, we explore how computational models and digital simulations can help prevent injuries, accelerate recovery, and enhance human performance—all while prioritising safety and clinical rigor.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/69133449</guid><pubDate>Fri, 19 Dec 2025 14:39:07 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/69133449/tdtt_18_scott_delp_mixdown2.mp3" length="36631716" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>In the final episode of 2025, we sit down with Scott Delp, Professor of Bioengineering, Mechanical Engineering, and Orthopaedic Surgery at Stanford University, and Director of the Wu Tsai Human Performance Alliance and the RESTORE Center.

We met...</itunes:subtitle><itunes:summary><![CDATA[In the final episode of 2025, we sit down with Scott Delp, Professor of Bioengineering, Mechanical Engineering, and Orthopaedic Surgery at Stanford University, and Director of the Wu Tsai Human Performance Alliance and the RESTORE Center.<br /><br />We met Professor Delp at the iSi Health Conference in September 2025, where we recorded a wide-ranging and insightful conversation on the role of in silico medicine in human health and performance. Together, we explore how computational models and digital simulations can help prevent injuries, accelerate recovery, and enhance human performance—all while prioritising safety and clinical rigor.]]></itunes:summary><itunes:duration>915</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c5d1ff9c09be1d14dcc91c91ca79a949.jpg"/><itunes:episode>18</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 17: AI deployment in healthcare (with Lia Martina)</title><link>https://www.spreaker.com/episode/episode-17-ai-deployment-in-healthcare-with-lia-martina--68603505</link><description><![CDATA[In this episode of The Digital Twin Theory we dive into the policy side of in silico medicine and digital health. This summer, the European Commission released its report “Study on the Deployment of AI in Healthcare”, a key document shaping Europe’s approach to trustworthy and effective AI in clinical settings.<br /><br />To unpack its findings, Davide speaks with Lia Martina, Policy Officer in Digital Health at DG SANTE. Lia works on the European Health Data Space, cybersecurity, and AI deployment in healthcare, and brings unique insights from inside the Commission. Tune in to understand what this study means for scientists, clinicians, patients, and policymakers across Europe.<br /><br />Disclaimer: The content represented in this interview is the interviewee point of view and does not represent the European Commission's view]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/68603505</guid><pubDate>Fri, 28 Nov 2025 09:44:12 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/68603505/tdtt_17_lia_martina_mixdownb.mp3" length="45990908" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>In this episode of The Digital Twin Theory we dive into the policy side of in silico medicine and digital health. This summer, the European Commission released its report “Study on the Deployment of AI in Healthcare”, a key document shaping Europe’s...</itunes:subtitle><itunes:summary><![CDATA[In this episode of The Digital Twin Theory we dive into the policy side of in silico medicine and digital health. This summer, the European Commission released its report “Study on the Deployment of AI in Healthcare”, a key document shaping Europe’s approach to trustworthy and effective AI in clinical settings.<br /><br />To unpack its findings, Davide speaks with Lia Martina, Policy Officer in Digital Health at DG SANTE. Lia works on the European Health Data Space, cybersecurity, and AI deployment in healthcare, and brings unique insights from inside the Commission. Tune in to understand what this study means for scientists, clinicians, patients, and policymakers across Europe.<br /><br />Disclaimer: The content represented in this interview is the interviewee point of view and does not represent the European Commission's view]]></itunes:summary><itunes:duration>1149</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/e51b557e493370da9d323b5ded569edf.jpg"/><itunes:episode>17</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 16: Beyond boundaries: realising truly interdisciplinary research (with Himanshu Kaul)</title><link>https://www.spreaker.com/episode/episode-16-beyond-boundaries-realising-truly-interdisciplinary-research-with-himanshu-kaul--68212622</link><description><![CDATA[Interdisciplinary research is at the heart of in silico medicine, but collaborating across disciplines is easier said than done. In this episode, we welcome back Himanshu Kaul (University of Leicester) to discuss real challenges and practical strategies for making interdisciplinary teams work effectively.<br /><br />]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/68212622</guid><pubDate>Mon, 20 Oct 2025 11:55:25 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/68212622/tdtt_16_himanshu_kaul_mixdown_v2_lessbkgaudio.mp3" length="45652165" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>Interdisciplinary research is at the heart of in silico medicine, but collaborating across disciplines is easier said than done. In this episode, we welcome back Himanshu Kaul (University of Leicester) to discuss real challenges and practical...</itunes:subtitle><itunes:summary><![CDATA[Interdisciplinary research is at the heart of in silico medicine, but collaborating across disciplines is easier said than done. In this episode, we welcome back Himanshu Kaul (University of Leicester) to discuss real challenges and practical strategies for making interdisciplinary teams work effectively.<br /><br />]]></itunes:summary><itunes:duration>1141</itunes:duration><itunes:keywords>insilicomedicine,interdisciplinary,research</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/bb6e232cbb1654f155e4fdb2d99c564b.jpg"/><itunes:episode>16</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 15: We don't need better models, we need smarter systems (with Geert Meyfroidt)</title><link>https://www.spreaker.com/episode/episode-15-we-don-t-need-better-models-we-need-smarter-systems-with-geert-meyfroidt--67593286</link><description><![CDATA[In this episode of The Digital Twin Theory podcast we reached out to Prof. Geert Meyfroidt, head of the department of intensive care medicine at the University Hospital of Leuven to talk about AI applications in the Intensive Care Unit.<br /><br />Prof. Meyfroidt discusses the future of intensive care and in silico medicine, highlighting the need for AI systems that support, rather than replace, clinicians. Instead of chasing ever more complex models, he argues for actionable tools that act like a “GPS for doctors”, delivering the right data at the right time. Such systems could save precious clinical time, strengthen human interaction with patients, and bring expert care to places where it is most needed.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/67593286</guid><pubDate>Mon, 15 Sep 2025 09:23:00 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/67593286/tdtt_ep_15_geert_meyfroidt_mixdown10.mp3" length="70329489" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>In this episode of The Digital Twin Theory podcast we reached out to Prof. Geert Meyfroidt, head of the department of intensive care medicine at the University Hospital of Leuven to talk about AI applications in the Intensive Care Unit.

Prof....</itunes:subtitle><itunes:summary><![CDATA[In this episode of The Digital Twin Theory podcast we reached out to Prof. Geert Meyfroidt, head of the department of intensive care medicine at the University Hospital of Leuven to talk about AI applications in the Intensive Care Unit.<br /><br />Prof. Meyfroidt discusses the future of intensive care and in silico medicine, highlighting the need for AI systems that support, rather than replace, clinicians. Instead of chasing ever more complex models, he argues for actionable tools that act like a “GPS for doctors”, delivering the right data at the right time. Such systems could save precious clinical time, strengthen human interaction with patients, and bring expert care to places where it is most needed.]]></itunes:summary><itunes:duration>1750</itunes:duration><itunes:keywords>ai,artificialintelligence,icu,insilicomedicine,intensivecare</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c15ba34cec987485a354876c0724962d.jpg"/><itunes:episode>15</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 14- Echoes in the code: AI meets echocardiography (with Jan d’Hooge)</title><link>https://www.spreaker.com/episode/episode-14-echoes-in-the-code-ai-meets-echocardiography-with-jan-d-hooge--67172133</link><description><![CDATA[Our host, Davide Montesarchio, heads to Leuven, Belgium, where he sits down with Prof. Jan d’Hooge—Vice‑Rector for Research Policy at KU Leuven and leader of the Cardiovascular Imaging &amp; Dynamics group.<br /><br />D’Hooge’s lab is turning everyday echocardiography into a predictive, precision tool. Together, Davide and Jan explore how computer modelling, simulations, and AI are redefining what a simple “echo” can reveal—and what that means for patients, clinicians, and the future of in silico medicine. Tune in for a journey where math meets muscle and pixels predict prognosis.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/67172133</guid><pubDate>Wed, 30 Jul 2025 07:38:01 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/67172133/tdtt_ep_14_jan_d_hooge_mixdown2.mp3" length="63994381" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>Our host, Davide Montesarchio, heads to Leuven, Belgium, where he sits down with Prof. Jan d’Hooge—Vice‑Rector for Research Policy at KU Leuven and leader of the Cardiovascular Imaging &amp;amp; Dynamics group.

D’Hooge’s lab is turning everyday...</itunes:subtitle><itunes:summary><![CDATA[Our host, Davide Montesarchio, heads to Leuven, Belgium, where he sits down with Prof. Jan d’Hooge—Vice‑Rector for Research Policy at KU Leuven and leader of the Cardiovascular Imaging &amp; Dynamics group.<br /><br />D’Hooge’s lab is turning everyday echocardiography into a predictive, precision tool. Together, Davide and Jan explore how computer modelling, simulations, and AI are redefining what a simple “echo” can reveal—and what that means for patients, clinicians, and the future of in silico medicine. Tune in for a journey where math meets muscle and pixels predict prognosis.]]></itunes:summary><itunes:duration>1592</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a60c8a0ec4d65dc6b880dc3d2428fb41.jpg"/><itunes:episode>14</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 13- The regulatory code: the challenges of regulating in silico medicine (with Tina Morrison)</title><link>https://www.spreaker.com/episode/episode-13-the-regulatory-code-the-challenges-of-regulating-in-silico-medicine-with-tina-morrison--66829880</link><description><![CDATA[Computer models and Artificial Intelligence (AI) present a new and not fully understood set of opportunities and challenges. To navigate this complex landscape, we turned to a leading innovator in the field: Tina Morrison. With over 15 years of experience at the Food and Drug Administration (FDA), Tina served as the Director of the Office of Regulatory Science and Innovation, leading the agency in the use of computer models in regulatory affairs.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/66829880</guid><pubDate>Wed, 02 Jul 2025 08:07:25 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/66829880/tdtt_ep_13_tina_morrison_mixdown.mp3" length="85300575" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>Computer models and Artificial Intelligence (AI) present a new and not fully understood set of opportunities and challenges. To navigate this complex landscape, we turned to a leading innovator in the field: Tina Morrison. With over 15 years of...</itunes:subtitle><itunes:summary><![CDATA[Computer models and Artificial Intelligence (AI) present a new and not fully understood set of opportunities and challenges. To navigate this complex landscape, we turned to a leading innovator in the field: Tina Morrison. With over 15 years of experience at the Food and Drug Administration (FDA), Tina served as the Director of the Office of Regulatory Science and Innovation, leading the agency in the use of computer models in regulatory affairs.]]></itunes:summary><itunes:duration>2125</itunes:duration><itunes:keywords>ai,computermodelling,healthcareinnovation,regulatoryscience</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/1874bcd875a6837ec3e1b3b2398b0423.jpg"/><itunes:episode>13</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 12- Modelling the liver: where data meet the scalpel (with Eric Vibert)</title><link>https://www.spreaker.com/episode/episode-12-modelling-the-liver-where-data-meet-the-scalpel-with-eric-vibert--66280186</link><description><![CDATA[In this episode, we talk to Eric Vibert — liver and transplant surgeon, professor at Paris-Saclay University and INSERM, and a trailblazer in surgical innovation.<br /><br />Operating since 2007 at the Paul Brousse Hospital, Prof. Vibert is reshaping the future of surgery through digital solutions. Alongside Nicolas Castoldi, he co-leads the Tier Lieu Campus BOPEX — an Experimental Operating Theatre where clinicians and developers co-create technologies to enhance surgical precision, safety, and outcomes. Join us for a conversation at the intersection of surgery and digital transformation.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/66280186</guid><pubDate>Thu, 29 May 2025 09:29:02 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/66280186/tdtt_ep_12_eric_vibert_mixdown.mp3" length="44413222" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>In this episode, we talk to Eric Vibert — liver and transplant surgeon, professor at Paris-Saclay University and INSERM, and a trailblazer in surgical innovation.

Operating since 2007 at the Paul Brousse Hospital, Prof. Vibert is reshaping the future...</itunes:subtitle><itunes:summary><![CDATA[In this episode, we talk to Eric Vibert — liver and transplant surgeon, professor at Paris-Saclay University and INSERM, and a trailblazer in surgical innovation.<br /><br />Operating since 2007 at the Paul Brousse Hospital, Prof. Vibert is reshaping the future of surgery through digital solutions. Alongside Nicolas Castoldi, he co-leads the Tier Lieu Campus BOPEX — an Experimental Operating Theatre where clinicians and developers co-create technologies to enhance surgical precision, safety, and outcomes. Join us for a conversation at the intersection of surgery and digital transformation.]]></itunes:summary><itunes:duration>1105</itunes:duration><itunes:keywords>computermodels,insilicomedicine,liversurgery,surgery,virtualreality</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/a059262cd9c2f3a344ea3039326c30bb.jpg"/><itunes:episode>12</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 11- Talking about a revolution: Science Communication &amp; In Silico Medicine (with Davide Montesarchio)</title><link>https://www.spreaker.com/episode/episode-11-talking-about-a-revolution-science-communication-in-silico-medicine-with-davide-montesarchio--65803710</link><description><![CDATA[In 2013, Sir Mark Walport, then Chief Scientific Adviser to the UK government, famously said, "Science is not finished until it is communicated." He urged climate change experts to make their work accessible to wider audiences — a message that rings even truer today, especially for the field of in silico medicine. As these technologies move closer to patients' lives, clear and effective communication will be essential to build trust and understanding.<br /><br />To celebrate one year of The Digital Twin Theory podcast, this special episode flips the script: host Davide Montesarchio becomes the guest, interviewed by our manager, Martina Contin, to explore why — and how — we must communicate in silico medicine to the world.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/65803710</guid><pubDate>Wed, 30 Apr 2025 08:50:13 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/65803710/tdtt_ep_11_davide_montesarchio_final.mp3" length="61587697" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>In 2013, Sir Mark Walport, then Chief Scientific Adviser to the UK government, famously said, "Science is not finished until it is communicated." He urged climate change experts to make their work accessible to wider audiences — a message that rings...</itunes:subtitle><itunes:summary><![CDATA[In 2013, Sir Mark Walport, then Chief Scientific Adviser to the UK government, famously said, "Science is not finished until it is communicated." He urged climate change experts to make their work accessible to wider audiences — a message that rings even truer today, especially for the field of in silico medicine. As these technologies move closer to patients' lives, clear and effective communication will be essential to build trust and understanding.<br /><br />To celebrate one year of The Digital Twin Theory podcast, this special episode flips the script: host Davide Montesarchio becomes the guest, interviewed by our manager, Martina Contin, to explore why — and how — we must communicate in silico medicine to the world.]]></itunes:summary><itunes:duration>1535</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/d24bf0e7ebb901a9acb787bdc677bde5.jpg"/><itunes:episode>11</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 10- Beating Bits: AI helping cardiology (with Elisa Rauseo)</title><link>https://www.spreaker.com/episode/episode-10-beating-bits-ai-helping-cardiology-with-elisa-rauseo--65254764</link><description><![CDATA[Let’s delve into the clinical applications of in silico medicine! Our guest for this episode is Dr. Elisa Rauseo, cardiologist and Clinical Research Fellow in Cardiovascular Digital Twins at the Queen Mary University of London. Together, we will discuss the applications of AI and machine learning in cardiology and also how ready medical doctors are to apply in silico tools in their practice.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/65254764</guid><pubDate>Mon, 31 Mar 2025 13:38:22 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/65254764/tdtt_ep_10_elisa_rauseo_mixdown5.mp3" length="45516130" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>Let’s delve into the clinical applications of in silico medicine! Our guest for this episode is Dr. Elisa Rauseo, cardiologist and Clinical Research Fellow in Cardiovascular Digital Twins at the Queen Mary University of London. Together, we will...</itunes:subtitle><itunes:summary><![CDATA[Let’s delve into the clinical applications of in silico medicine! Our guest for this episode is Dr. Elisa Rauseo, cardiologist and Clinical Research Fellow in Cardiovascular Digital Twins at the Queen Mary University of London. Together, we will discuss the applications of AI and machine learning in cardiology and also how ready medical doctors are to apply in silico tools in their practice.]]></itunes:summary><itunes:duration>1135</itunes:duration><itunes:keywords>ai,cardiology,computermodel,heart,machinelearning,surgery</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9026816182b580ba2173702e69bbd8b6.jpg"/><itunes:episode>10</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 9- Bones, Joints, and Bytes (with Marco Viceconti)</title><link>https://www.spreaker.com/episode/episode-9-bones-joints-and-bytes-with-marco-viceconti--64225150</link><description><![CDATA[Musculoskeletal applications are among the most advanced frontiers of in silico medicine. In our first episode of 2025, we sit down with a true pioneer in the field—Prof. Marco Viceconti.<br /><br />From the early days, when only a handful of visionaries foresaw a future where medicine was driven by data and computational models, to the present, Marco has been a driving force in this revolution.<br /><br />His contributions are remarkable: he founded and directed the Medical Technology Lab at the Istituto Ortopedico Rizzoli, established and led the Insigneo Institute for In Silico Medicine, and served as the first Executive Director of VPHi.<br /><br />Join us as we explore the evolution of in silico medicine through the insights of one of its most influential figures.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/64225150</guid><pubDate>Thu, 27 Feb 2025 10:22:27 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/64225150/tdtt_ep_08_marco_viceconti_mixdown.mp3" length="74268920" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>Musculoskeletal applications are among the most advanced frontiers of in silico medicine. In our first episode of 2025, we sit down with a true pioneer in the field—Prof. Marco Viceconti.

From the early days, when only a handful of visionaries...</itunes:subtitle><itunes:summary><![CDATA[Musculoskeletal applications are among the most advanced frontiers of in silico medicine. In our first episode of 2025, we sit down with a true pioneer in the field—Prof. Marco Viceconti.<br /><br />From the early days, when only a handful of visionaries foresaw a future where medicine was driven by data and computational models, to the present, Marco has been a driving force in this revolution.<br /><br />His contributions are remarkable: he founded and directed the Medical Technology Lab at the Istituto Ortopedico Rizzoli, established and led the Insigneo Institute for In Silico Medicine, and served as the first Executive Director of VPHi.<br /><br />Join us as we explore the evolution of in silico medicine through the insights of one of its most influential figures.]]></itunes:summary><itunes:duration>1855</itunes:duration><itunes:keywords>computermodelling,futureofhealthcare,healthcare,insilicomedicine,orthopedics</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/68b59a69d81e8449ddea30ca8898e214.jpg"/><itunes:episode>9</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 8- Simulating the beat: How in silico medicine is changing cardiology (with Mariano Vazquez)</title><link>https://www.spreaker.com/episode/episode-8-simulating-the-beat-how-in-silico-medicine-is-changing-cardiology-with-mariano-vazquez--63352236</link><description><![CDATA[In silico medicine is transforming healthcare, and some of its most groundbreaking applications are happening in cardiology. In our final episode of 2024, we explore how this innovative technology is reshaping the future of heart health.<br /><br />Joining us is Mariano Vazquez, CTO and CSO of ELEM Biotech—a spinoff of the Barcelona Supercomputing Center (BSC)—where he also leads cutting-edge research.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/63352236</guid><pubDate>Tue, 17 Dec 2024 14:32:51 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/63352236/episodio_8_cardiovascular_mariano_vazquez.mp3" length="31432567" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>In silico medicine is transforming healthcare, and some of its most groundbreaking applications are happening in cardiology. In our final episode of 2024, we explore how this innovative technology is reshaping the future of heart health.

Joining us...</itunes:subtitle><itunes:summary><![CDATA[In silico medicine is transforming healthcare, and some of its most groundbreaking applications are happening in cardiology. In our final episode of 2024, we explore how this innovative technology is reshaping the future of heart health.<br /><br />Joining us is Mariano Vazquez, CTO and CSO of ELEM Biotech—a spinoff of the Barcelona Supercomputing Center (BSC)—where he also leads cutting-edge research.]]></itunes:summary><itunes:duration>783</itunes:duration><itunes:keywords>cardiology,insilicomedicine,quantumcomputing,supercomputing</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/07ac09b426c08cb209e7d318609a7b4b.jpg"/><itunes:episode>8</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 7- Code &amp; Care: Society's Role in Shaping In Silico Medicine (with Zita van Horenbeeck)</title><link>https://www.spreaker.com/episode/episode-7-code-care-society-s-role-in-shaping-in-silico-medicine-with-zita-van-horenbeeck--63011101</link><description><![CDATA[In this episode, we will discuss about social implications and trust in in silico medicine with our guest Zita van Horenbeeck, social scientist at the Virtual Physiological Human Institute and PhD student at the Life Sciences and Society Lab of KU Leuven.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/63011101</guid><pubDate>Wed, 27 Nov 2024 12:51:56 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/63011101/tdtt_07_socialacceptance_zita_switchaudiogo_mixdown.mp3" length="37371650" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>In this episode, we will discuss about social implications and trust in in silico medicine with our guest Zita van Horenbeeck, social scientist at the Virtual Physiological Human Institute and PhD student at the Life Sciences and Society Lab of KU Leuven.</itunes:subtitle><itunes:summary><![CDATA[In this episode, we will discuss about social implications and trust in in silico medicine with our guest Zita van Horenbeeck, social scientist at the Virtual Physiological Human Institute and PhD student at the Life Sciences and Society Lab of KU Leuven.]]></itunes:summary><itunes:duration>933</itunes:duration><itunes:keywords>ai,ethics,insilicomedicine,socialimplications,socialsciences,trust</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/c7d3695c8e163f45c22fe82f13d215ca.jpg"/><itunes:episode>7</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 6- Ethics and the Virtual Human Twin (with Michele Barbier)</title><link>https://www.spreaker.com/episode/episode-6-ethics-and-the-virtual-human-twin-with-michele-barbier--62566621</link><description><![CDATA[In silico medicine, as a breakthrough in technology and healthcare, carries a series of ethical issues, including managing personal health data, the technological divide, and the doctor-patient relationship.<br /><br /><br />To explore this topic, we interviewed Michele Barbier, an independent ethics expert for the European Commission and EU project coordinator at INRIA working on digital twins. Her insights offer a closer look at this transformative field's challenges and promises.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/62566621</guid><pubDate>Tue, 05 Nov 2024 08:17:22 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/62566621/tdtt_ep_06_michele_barbier_modreqbymichele_mixdown.mp3" length="28997528" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>In silico medicine, as a breakthrough in technology and healthcare, carries a series of ethical issues, including managing personal health data, the technological divide, and the doctor-patient relationship.


To explore this topic, we interviewed...</itunes:subtitle><itunes:summary><![CDATA[In silico medicine, as a breakthrough in technology and healthcare, carries a series of ethical issues, including managing personal health data, the technological divide, and the doctor-patient relationship.<br /><br /><br />To explore this topic, we interviewed Michele Barbier, an independent ethics expert for the European Commission and EU project coordinator at INRIA working on digital twins. Her insights offer a closer look at this transformative field's challenges and promises.]]></itunes:summary><itunes:duration>724</itunes:duration><itunes:keywords>ai,computermodels,digitaldivide,ethics,healthcare,insilicomedicine,socialjustice</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/38cfe192fd1bbe2b6a8e942c0612a431.jpg"/><itunes:episode>6</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 5- Protecting privacy in the age of data (with Elisabetta Biasin)</title><link>https://www.spreaker.com/episode/episode-5-protecting-privacy-in-the-age-of-data-with-elisabetta-biasin--61292658</link><description><![CDATA[Without data, <i>in silico</i> medicine wouldn't even be possible. In this episode we will explore how data, especially medical data, needs to be managed to make <i>in silico </i>medicine a reality.<br /><br />Our guest for this episode is Elisabetta Biasin, doctoral researcher at the Centre for IT and IP Law at KU Leuven.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/61292658</guid><pubDate>Thu, 26 Sep 2024 08:49:39 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/61292658/tdtt_ep_05_elisabetta_biasin_mixdown.mp3" length="34534634" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>Without data, in silico medicine wouldn't even be possible. In this episode we will explore how data, especially medical data, needs to be managed to make in silico medicine a reality.

Our guest for this episode is Elisabetta Biasin, doctoral...</itunes:subtitle><itunes:summary><![CDATA[Without data, <i>in silico</i> medicine wouldn't even be possible. In this episode we will explore how data, especially medical data, needs to be managed to make <i>in silico </i>medicine a reality.<br /><br />Our guest for this episode is Elisabetta Biasin, doctoral researcher at the Centre for IT and IP Law at KU Leuven.]]></itunes:summary><itunes:duration>863</itunes:duration><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/b90948541f81f11ba6376039eb922cb0.jpg"/><itunes:episode>5</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 4- Virtual Patients: Exploring the world of in silico trials (with Francesco Pappalardo)</title><link>https://www.spreaker.com/episode/episode-4-virtual-patients-exploring-the-world-of-in-silico-trials-with-francesco-pappalardo--60513691</link><description><![CDATA[Do you know how long it takes for a drug to reach the pharmacy?<br /><br />Drug development, testing, and approval take 10 to 15 years and cost millions of euros. Most of this time and money go into clinical trials, which are essential for proving the drug's safety and effectiveness.<br /><br />Clinical trials are crucial, but can we make this process faster, cheaper, and safer for both animals and humans? The short answer is yes. For the longer answer, we turn to the guest of this episode, Francesco Pappalardo, Professor of Computer Science at the University of Catania.]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/60513691</guid><pubDate>Fri, 28 Jun 2024 12:43:55 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/60513691/tdtt_ep_04_francesco_pappalardo_mixdown.mp3" length="35593918" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>Do you know how long it takes for a drug to reach the pharmacy?

Drug development, testing, and approval take 10 to 15 years and cost millions of euros. Most of this time and money go into clinical trials, which are essential for proving the drug's...</itunes:subtitle><itunes:summary><![CDATA[Do you know how long it takes for a drug to reach the pharmacy?<br /><br />Drug development, testing, and approval take 10 to 15 years and cost millions of euros. Most of this time and money go into clinical trials, which are essential for proving the drug's safety and effectiveness.<br /><br />Clinical trials are crucial, but can we make this process faster, cheaper, and safer for both animals and humans? The short answer is yes. For the longer answer, we turn to the guest of this episode, Francesco Pappalardo, Professor of Computer Science at the University of Catania.]]></itunes:summary><itunes:duration>890</itunes:duration><itunes:keywords>clinicaltrials,digitaltwin,drugdevelopment,healthcare,insilicotrials,virtualhumantwin</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/9a01ece8c3497e5bf4bf02c925ccea2f.jpg"/><itunes:episode>4</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 3- Revolutionising healthcare: The power of AI in medicine (Leonardo Castorina)</title><link>https://www.spreaker.com/episode/episode-3-revolutionising-healthcare-the-power-of-ai-in-medicine-leonardo-castorina--60219965</link><description><![CDATA[As an in silico medicine tool, Artificial Intelligence is revolutionising healthcare. When did it start? And how can AI contribute to improving and making doctors' work more efficient worldwide? We asked such questions to Leonardo Castorina,<b> </b>PhD student in Biomedical AI at the University of Edinburgh, specialising in AI-driven protein design and immune system research.<br /><br />Don't miss out on our animated video series, Code &amp; Cure: Understanding <i>in silico</i> medicine. Here's the link to the third episode: <a href="https://youtu.be/xctWc8n7eC8" target="_blank" rel="noreferrer noopener">https://youtu.be/xctWc8n7eC8</a>]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/60219965</guid><pubDate>Thu, 30 May 2024 13:41:11 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/60219965/tdtt_ep_03_leonardo_castorina_mixdown_v1.mp3" length="20163728" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>As an in silico medicine tool, Artificial Intelligence is revolutionising healthcare. When did it start? And how can AI contribute to improving and making doctors' work more efficient worldwide? We asked such questions to Leonardo Castorina, PhD...</itunes:subtitle><itunes:summary><![CDATA[As an in silico medicine tool, Artificial Intelligence is revolutionising healthcare. When did it start? And how can AI contribute to improving and making doctors' work more efficient worldwide? We asked such questions to Leonardo Castorina,<b> </b>PhD student in Biomedical AI at the University of Edinburgh, specialising in AI-driven protein design and immune system research.<br /><br />Don't miss out on our animated video series, Code &amp; Cure: Understanding <i>in silico</i> medicine. Here's the link to the third episode: <a href="https://youtu.be/xctWc8n7eC8" target="_blank" rel="noreferrer noopener">https://youtu.be/xctWc8n7eC8</a>]]></itunes:summary><itunes:duration>840</itunes:duration><itunes:keywords>ai,aihealth,artificialintelligence,healthinnovation,proteindesign</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/207ffe25272a7ae0f021208a2d543087.jpg"/><itunes:episode>3</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 2- Modelling medicine: How models work (with Himanshu Kaul)</title><link>https://www.spreaker.com/episode/episode-2-modelling-medicine-how-models-work-with-himanshu-kaul--59793197</link><description><![CDATA[What is a computer model? How can we build one? How can they be used to improve healthcare? We asked all such questions to Himanshu Kaul, Royal Academy of Engineering Research Fellow and Principal Investigator at the Laboratory for Multiscale Emergent Bioengineering at the University of Leicester.<br /><br />Don't miss our animated video series Code &amp; Cure: Understanding <i>in silico </i>medicine. Here's the link to the second episode of the series: <a href="https://youtu.be/gAeHWcKxDZI" target="_blank" rel="noreferrer noopener">https://youtu.be/gAeHWcKxDZI</a>]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/59793197</guid><pubDate>Fri, 03 May 2024 08:33:05 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/59793197/ep02_himanshu_kaul_mixdown3.mp3" length="18247039" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>What is a computer model? How can we build one? How can they be used to improve healthcare? We asked all such questions to Himanshu Kaul, Royal Academy of Engineering Research Fellow and Principal Investigator at the Laboratory for Multiscale Emergent...</itunes:subtitle><itunes:summary><![CDATA[What is a computer model? How can we build one? How can they be used to improve healthcare? We asked all such questions to Himanshu Kaul, Royal Academy of Engineering Research Fellow and Principal Investigator at the Laboratory for Multiscale Emergent Bioengineering at the University of Leicester.<br /><br />Don't miss our animated video series Code &amp; Cure: Understanding <i>in silico </i>medicine. Here's the link to the second episode of the series: <a href="https://youtu.be/gAeHWcKxDZI" target="_blank" rel="noreferrer noopener">https://youtu.be/gAeHWcKxDZI</a>]]></itunes:summary><itunes:duration>760</itunes:duration><itunes:keywords>ai,ashtma,computationalmedicine,computermodels,healthcare,simulations</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/6db67126bb90f428d91b662d476509a6.jpg"/><itunes:episode>2</itunes:episode><itunes:episodeType>full</itunes:episodeType></item><item><title>Episode 1- What is in silico medicine? (with Liesbet Geris)</title><link>https://www.spreaker.com/episode/episode-1-what-is-in-silico-medicine-with-liesbet-geris--59262062</link><description><![CDATA[In silico medicine is the future of healthcare. But what is it really? And what can it do for us? We interviewed Liesbet Geris, professor of Biomechanics and Computational Tissue Engineering at the University of Liege and KU Leuven. She’s also the executive director of the Virtual Physiological Human Institute.<br /><br />Don't miss our video series Code &amp; Cure: Understanding <i>in silico</i> medicine. Here's the link to the first episode: <a href="https://youtu.be/5YjjzHlHsok" target="_blank" rel="noreferrer noopener">https://youtu.be/5YjjzHlHsok</a>]]></description><guid isPermaLink="false">https://api.spreaker.com/episode/59262062</guid><pubDate>Tue, 02 Apr 2024 15:00:18 +0000</pubDate><enclosure url="https://api.spreaker.com/download/episode/59262062/digital_twin_theory_ep_01.mp3" length="23356313" type="audio/mpeg"/><itunes:author>VPH- The Society for In Silico Medicine</itunes:author><itunes:subtitle>In silico medicine is the future of healthcare. But what is it really? And what can it do for us? We interviewed Liesbet Geris, professor of Biomechanics and Computational Tissue Engineering at the University of Liege and KU Leuven. She’s also the...</itunes:subtitle><itunes:summary><![CDATA[In silico medicine is the future of healthcare. But what is it really? And what can it do for us? We interviewed Liesbet Geris, professor of Biomechanics and Computational Tissue Engineering at the University of Liege and KU Leuven. She’s also the executive director of the Virtual Physiological Human Institute.<br /><br />Don't miss our video series Code &amp; Cure: Understanding <i>in silico</i> medicine. Here's the link to the first episode: <a href="https://youtu.be/5YjjzHlHsok" target="_blank" rel="noreferrer noopener">https://youtu.be/5YjjzHlHsok</a>]]></itunes:summary><itunes:duration>730</itunes:duration><itunes:keywords>healthcare,insilico,medicine,virtualhumantwin</itunes:keywords><itunes:explicit>false</itunes:explicit><itunes:image href="https://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/fb3be6ee2b12ab57d3d911dd5eaa9900.jpg"/><itunes:episode>1</itunes:episode><itunes:episodeType>full</itunes:episodeType></item></channel></rss>
