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 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.

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.

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.

Disclaimer: The content represented in this interview is the interviewee point of view and does not represent the European Commission's view

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.

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. 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.

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 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.

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.

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 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.

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.

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.

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.

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 foresaw a future where medicine was driven by data and computational models, to the present, Marco has been a driving force in this revolution.

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.

Join us as we explore the evolution of in silico medicine through the insights of one of its most influential figures.