Reinhard C. Laubenbacher, Professor of Systems Medicine, University of Florida, USA Mikael Benson, Principal Researcher, Karolinska Institute, Sweden Jun Deng, Professor of Therapeutic Radiology, Yale School of Medicine, USA Frank Rademakers, Professor of Cardiology, KU Leuven, Belgium Tapahtuman alkuperäinen kuvaus: Webinar 16th of April, 16:00–18:00 (EEST, Finland). Other time zones: 15:00-17:00 (CEST, Sweden and Belgium), 9:00–11:00AM, (EDT, Eastern time zone, USA). Join us for an inspiring webinar that brings together leading international experts to explore the rapidly evolving role of digital twins in P4 Medicine — predictive, preventive, personalized, and participatory care — and their transformative potential in future medicine. From early prediction of disease to AI-driven treatment strategies and clinical integration, our speakers will dive into the science, technology, and challenges of implementing digital twins in real-world healthcare. Whether you’re a researcher, healthcare professional, policymaker, or innovator, this session will offer valuable insights into the opportunities and hurdles shaping the future of data-driven medicine. Why attend? Hear from renowned professors from the University of Florida, Yale School of Medicine, Karolinska Institute, KU Leuven, and Tampere University Explore cutting-edge medical digital twin use cases Discuss ethical, technological, and clinical adoption challenges Connect with peers and stay at the forefront of digital health innovation Participation is free, but registration is required. Agenda16:00 – 16:10 Opening words Frank Emmert-Streib, Professor of Data Science, and Jari Hyttinen, Professor of Biomedical Technology, Tampere University 16:10 – 16:30 The Promise of Digital Twin Technology for P4 Medicine Reinhard C. Laubenbacher, Professor of Systems Medicine, University of Florida, USA 16:35 – 16:55 Digital Twins for Early Personalised Prediction and Prevention of Malignant Transformation Mikael Benson, Principal Researcher, Karolinska Institute, Sweden 17:00 – 17:20 Digital Twins and AI for Precision Medicine Jun Deng, Professor of Therapeutic Radiology, Yale School of Medicine, USA 17:25 – 17:45 Digital Twins: Opportunities and HurdlesFrank Rademakers, Professor of Cardiology, KU Leuven, Belgium 17:45 – 18:00 Discussions & Closing Words Hei! Tämä tapahtuma on jo järjestetty. Löydät tapahtuman materiaalit tältä arkistosivulta