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The Digital Twin Theory: Daily Summaries Delivered
by VPH- The Society for In Silico Medicine
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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- 1 weeks ago49 min
Episode 27: I was there- The history of in silico medicine Pt.2 (with Marco Viceconti)
How did in silico medicine evolve from computational models of individual biological phenomena to the vision of integrated virtual human twins? And what will it take to bring these technologies into everyday clinical practice?In this second episode of our special series on the history of in silico medicine, host Davide Montesarchio welcomes back Professor Marco Viceconti from the University of Bologna, one of the key figures in the development of the field.Together, they explore the evolution of computational modelling in healthcare, the pioneers who helped shape the vision of the virtual human twin, and the origins of VPH – The Society for In Silico Medicine. Professor Viceconti also reflects on his experience founding and directing the VPH Society and the Insigneo Institute at the University of Sheffield.Looking to the present and future, the conversation tackles one of the field’s biggest challenges: bridging the gap between the growing number of computational models and their validation and adoption in clinical practice.A conversation about scientific vision, institutional milestones, lessons from the past, and the challenges that remain in making in silico medicine a reality for patients.
- Sep 28, 202622 min
Episode 26: I was there- The history of in silico medicine Pt.1 (with Peter Hunter)
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, we sat down with Professor Peter Hunter, one of the pioneers of computational modelling and a key figure behind the Physiome Project, the Auckland Bioengineering Institute, and the Virtual Physiological Human.Peter takes us back to the early days of the field, from the first computer models to the emergence of the vision of a computational human body, and reflects on how far that vision has come, and what still lies ahead.This is Part I of a two-episode journey through the history of in silico medicine, told by someone who was there.
- Jul 24, 202627 min
Episode 25: Computer vision and trustworthy AI (with Chen Chen)
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 University of Sheffield, about the exciting world of computer vision and trustworthy AI.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.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.
- Jun 26, 202626 min
Episode 24: Computer models, AI, and the challenge ovarian cancer (with Marilisa Cortesi)
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 The Digital Twin Theory, host Davide Montesarchio speaks with Dr. Marilisa Cortesi, biomedical engineer, Marie Skłodowska-Curie Global Fellow, and Assistant Professor at the University of Bologna.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.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.Join us for an insightful discussion on how engineering, biology, and medicine are converging to shape the future of cancer research.
- May 29, 202631 min
Episode 23: Making innovation come true (with Rossana Alessandrello)
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 innovation move from the lab into real clinical practice? And what role does value-based procurement play in the future of in silico medicine?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.A thoughtful conversation on one of the most important and least discussed aspects of healthcare innovation.
- Apr 30, 202623 min
Episode 22: The right to understand in healthcare AI (with Anshu Ankolekar)
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.
- Mar 30, 202628 min
Episode 21: Lost in Translation? Bridging the gap between models and medicine (with Morgane Garreau & Christian Kassasseya)
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.
- Feb 27, 202617 min
Episode 20: When one-size-fits-all medicine hurts women (with Blanca Rodriguez)
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.”
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About The Digital Twin Theory
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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