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. If you wish to suggest a new topic or questions for our experts, email us at social@vph-institute.org.
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Contact path
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Booking probability
38%
Guest openness
Selective
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Signup to Generate a PitchThe 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.
Recent episodes include "Episode 26: I was there- The history of in silico medicine Pt.1 (with Peter Hunter)" (28 September 2026, 22 minutes), "Episode 25: Computer vision and trustworthy AI (with Chen Chen)" (24 July 2026, 28 minutes), and "Episode 24: Computer models, AI, and the challenge ovarian cancer (with Marilisa Cortesi)" (26 June 2026, 26 minutes).
The Digital Twin Theory publishes roughly monthly, with episodes averaging 24 minutes across 26 episodes.
Booking probability for The Digital Twin Theory is 38%, and the host is rated Selective on guests. The Digital Twin Theory requires a Pod Score of 80 or higher. The Digital Twin Theory's contact route on record: verified email.
The strongest fits for The Digital Twin Theory are Health & Wellness Services. The Digital Twin Theory has a health audience.
The Digital Twin Theory is a health show with 26 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Episode #26
How did in silico medicine begin? And what was it like to work on computational models of the human body before digital twins and virtual patients became part of the scientific vocabulary? In this special two-part...
Episode #25
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...
The Digital Twin Theory
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...
Episode #23
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...
Episode #22
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...
Episode #21
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...
Episode #20
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...
Episode #19
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...
Episode #18
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...
Episode #17
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...
Episode #16
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...
Episode #15
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...
Episode #14
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 & Dynamics group.<br /><br...
Episode #13
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...
Episode #12
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...
Episode #11
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...
Episode #10
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...
Episode #9
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...
Episode #8
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...
Episode #7
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...
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