This session will explore the transformative shift from traditional image interpretation to fully integrated diagnostics, where radiology merges seamlessly with pathology, genomics, and clinical data. Experts will showcase how these multimodal datasets are fuelling the development of patient-specific digital twins-virtual models that replicate anatomy, physiology, and disease progression. Attendees will discover how predictive simulations can guide treatment planning, optimise outcomes, and enable truly personalised medicine. The session will also address the technological, ethical, and workflow challenges of bringing these innovations into daily radiology practice.
Chairperson's introduction
Carlo Catalano, Rome / Italy
How imaging, laboratory and clinical data integrate into actionable insights
Hedvig Hricak, New York / United States
Creating patient-specific models to simulate disease and treatment outcomes
Bram Van Ginneken, Nijmegen / Netherlands
Using AI and computational models to forecast disease trajectories
Philippe Lambin, Maastricht / Netherlands
Panel discussion: What steps are needed to enable integrated diagnostics and digital twins?