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.
Agenda
16:00 – 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 Hurdles
Frank Rademakers, Professor of Cardiology, KU Leuven, Belgium
17:45 – 18:00 Discussions & Closing Words
Organiser
Business Tampere and Tampere University