AI for Longitudinal Medical Data: From Trajectories to Insights

Led by the EPFL AI Center, SDSC, HES-SO Wallis and in collaboration with CHUV, HUG, USZ and PHRT, this mini-symposium aims to foster cross-disciplinary exchanges within the local Swiss ecosystem and to highlight emerging opportunities for AI to inform personalized, time-resolved medicine. 

Understanding health as a dynamic process requires models that capture how biological, clinical, and behavioral variables evolve over time. This mini-symposium brings together researchers at the intersection of artificial intelligence, biomedical data science, medical imaging, and clinical research to discuss recent advances in modeling longitudinal medical data, with a strong focus on longitudinal imaging such as PET, CT, and MRI. 

The workshop will take place exclusively on-site on November 20, 2025, at the EPFL AI Center.

Topics covered

• Temporal representation learning,
• Predictive modeling of disease trajectories,
• Segmentation and lesion tracking,
• Cross-modality harmonization,
• Translation of AI-derived insights into clinical practice.