How can we ensure clinicians and patients can trust AI in healthcare? In this episode of The Digital Twin Theory, we speak with Dr. Chen Chen, Assistant Professor at the University of Sheffield, about computer vision, multimodal AI, and the importance of building transparent, reliable, and trustworthy AI for clinical practice.
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How can computational models, artificial intelligence, and digital twins help us better understand and treat ovarian cancer? In this episode, Dr. Marilisa Cortesi explores the challenges of ovarian cancer research, the role of in silico medicine, and how AI and virtual patients could shape the future of personalised oncology.
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Innovation in healthcare goes beyond research and clinical validation: public procurement plays a crucial role in bringing new technologies into clinical practice. In this episode, Rossana Alessandrello explores how value-based procurement can shape the future of in silico medicine and healthcare innovation.
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As AI becomes more integrated into healthcare, questions around trust, transparency, and clinical responsibility are becoming increasingly important.
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How can AI and computational models move from theory to everyday clinical practice? In this episode, a biomedical engineer, Morgane Garreau, and a physician, Christian Kassasseya, share how to bridge computer modelling and clinical reality.
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In this episode of The Digital Twin Theory, we discuss sex differences in healthcare and how in silico medicine can help create truly personalised, gender-aware medicine
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In this episode of The Digital Twin Theory, we talk with Jude Dzevela Kong of the University of Toronto about community-driven healthcare innovation. Discover how engaging patients and local communities leads to more inclusive, effective, and sustainable solutions that leave no one behind.
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In our final 2025 episode, we meet Scott Delp to explore how in silico medicine is helping prevent injuries, restore health, and safely enhance human performance.
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The Digital Twin Theory explores policy in in silico medicine. We unpack the European Commission’s “AI Deployment in Healthcare” report, shaping trusted and effective clinical AI in Europe.
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Interdisciplinary research drives in silico medicine, but collaboration is complex. In this episode, Himanshu Kaul (University of Leicester) shares challenges and strategies for effective teamwork.
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Prof. Meyfroidt envisions AI in intensive care as a “GPS for doctors” — tools that guide clinicians with timely data, save time, enhance patient care, and extend expertise where it’s needed most.
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D’Hooge’s lab is transforming echocardiography into a predictive tool using modelling, simulations, and AI—revealing new insights for patients, clinicians, and the future of in silico medicine.
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