AI for Longitudinal Medical Data: From Trajectories to Insights

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Event details

Date 20.11.2025
Hour 14:0018:00
Speaker See program
Location
Category Conferences - Seminars
Event Language English

Led by the EPFL AI CenterSDSC, HES-SO Wallis and in collaboration with CHUVHUGUSZ 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. 
Registration
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). 

Practical information

  • Informed public
  • Registration required

Organizer

Contact

  • Nicolas Machado

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