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 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.

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 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?

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.

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.

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 sex-aware, personalised medicine, reshaping diagnosis, therapies, and the concept of the “average patient.”

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 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.

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.