AI for Longitudinal Medical Data: From Trajectories to Insights
Event details
| Date | 20.11.2025 |
| Hour | 14:00 › 18:00 |
| Speaker | See program |
| Location | |
| Category | Conferences - Seminars |
| Event Language | English |
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.
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.
Program
- 13:30 – 14:00 – Check-in
- 14:00 – 14:10 – Welcome - Dr. Dorina Thanou, EPFL & Prof. Adrien Depeursinge, HES-SO, CHUV
- 14:10 – 14:30 – “AI in Longitudinal Molecular Imaging: Bridging Clinical Needs and Quantitative Insights” – Mario Jreige, CHUV
- 14:30 – 14:50 – “Learning tumor evolution dynamics and early markers of immunotherapy response from PET/CT imaging” – Jeremy Baffou, EPFL
- 14:50 – 15:10 – “Segmentation and Tracking for Melanoma Lesions from PET/CT imaging with Promptable Foundation Models” – Xiaoran Chen, SDSC
- 15:10 – 15:40 – Coffee break
- 15:40 – 16:00 – “Introduction of the World’s Largest Temporal PET/CT Oligometastatic Disease Dataset and Required Tools”- Maksym Fritsak, USZ
- 16:00 – 16:20 – “The SwissHeart Study – From Spins to Pictures to Digital Organs” – Sebastian Kozerke, ETH Zurich
- 16:20 – 16:40 – ”Learning Disease Trajectories: AI for Personalized Management of Brain Metastases” – Vincent Andrearczyk, HES-SO Valais-Wallis
- 16:40 – 17:00 – “Towards Longitudinal Characterization of Multiple Sclerosis” – Pedro Gordaliza, CIBM SP CHUV-UNIL
- 17:00 – 19:00 – Networking apéro
Due to limited capacity, registration is mandatory (Here)
This mini-symposium is organized in the context of the LETITIA project (supported by PHRT and SDSC).
Links
Practical information
- Informed public
- Registration required
Organizer
- EPFL AI Center, SDSC, HES-SO Wallis
Contact
- Nicolas Machado