Hosted by Unknown Host · EN · 24 episodes
Established thought leaders with verified media credentials.
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.
Unknown Host hosts The Digital Twin Theory, a health show with 24 episodes published.
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 thi
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 technologie
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 heal
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
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 computa
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
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 t
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
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 ch
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 Inte
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. D’Hooge’s lab is
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 Morriso
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.
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 aud
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
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
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
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 Sci
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 t
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 Elisa
Sponsor detection runs nightly. Check back soon.
No public pitch examples yet for this show.
Generate your own personalised pitchBased on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
Shows with the most semantically similar episode content. Pitch one, pitch all; producers cluster.
The Digital Twin Theory has a verified contact on file. Create a free PitchCentric account to access it and generate a personalised pitch in seconds. Research at least 3 recent episodes first and lead with a specific angle that serves their health audience.
The Digital Twin Theory is hosted by Unknown Host. The show is categorised under Health (fitness) and has published 24 episodes.
The Digital Twin Theory has published 24 episodes.
The Digital Twin Theory regularly covers Health, Fitness, Medicine, Science, Technology. It sits in the Health category, with a fitness focus.
The Digital Twin Theory is accessible for guests with genuine health expertise. A personalised, episode-aware pitch will still outperform a generic one every time.
The Digital Twin Theory hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.
Episodes of The Digital Twin Theory average 22 minutes. a focused format where a clear narrative arc and tight preparation matter most.
Our data rates The Digital Twin Theory's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.
Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 2 days ago.
