『The Digital Twin Theory』のカバーアート

The Digital Twin Theory

The Digital Twin Theory

著者： VPH- The Society for In Silico Medicine
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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.VPH- The Society for In Silico Medicine 科学 衛生・健康的な生活 身体的病い・疾患
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  • Episode 25: Computer vision and trustworthy AI (with Chen Chen)

    Episode 25: Computer vision and trustworthy AI (with Chen Chen)
    2026/07/24
    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.
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    28 分
  • Episode 24: Computer models, AI, and the challenge ovarian cancer (with Marilisa Cortesi)

    Episode 24: Computer models, AI, and the challenge ovarian cancer (with Marilisa Cortesi)
    2026/06/26
    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.
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    26 分
  • Episode 23: Making innovation come true (with Rossana Alessandrello)

    Episode 23: Making innovation come true (with Rossana Alessandrello)
    2026/05/29
    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.
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    31 分
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