Call for poster submission: Building Commons for Clinical LLMs October 1-2, 2026, PariSanté Campus, Paris https://health-data-hub.fr/page/building-commons-clinical-llms-international...
As Large Language Models (LLMs) continue to transform the medical landscape, the need for shared, compliant with regulations, and clinically-validated solutions has never been more vital for healthcare professionals. This conference aims to bridge the gap between academic research and medical application, focusing on the unique challenges of data privacy, model robustness, and clinical accuracy. On top of keynote presentations, panel sessions, and working group meetings, the conference aims to provide a space for researchers, clinicians, and industry players to share their latest findings and innovative projects through poster sessions.
We solicit communications that will be presented as posters. All topics relevant to the conference themes are welcome: clinical applications of LLMs, clinical benchmarks for LLMs, regulatory/ethical/safety frameworks, new technical approaches, etc.
SUBMISSION DETAILS
- Format: an extended abstract of 3 pages, plus unlimited references. The document, in PDF format, must contain at least: poster title; authors, affiliations, and contact; and a summary of the presented work. - Submission deadline: July 31, 2026 (11:59 pm, AoE) - Submission link: https://hdhpds.limesurvey.net/911354 - Selection criteria: abstracts will be selected based on their relevance to the conference themes and the clarity of their contribution - Document templates are available: - docx: https://health-data-hub.fr/sites/default/files/2026-06/Document_template_for... - LaTeX: an Overleaf document is provided at https://www.overleaf.com/read/jmjkfptzknpq#b5b164 - File> Download> Download as source (.zip) or log into Overleaf and File> Make a copy
Preregistration for the conference is open through the form at https://hdhpds.limesurvey.net/911354.
IMPORTANT DATES
- Submission: 31 July 2026 - Notification: 30 August 2026 - Conference: 1-2 October 2026
SCIENTIFIC COMMITTEE
Emmanuel Bacry, French Health Data Hub, 75015, Paris, France ; Université Paris Dauphine - PSL, CNRS, CEREMADE, 75016, Paris, France Aurélie Névéol, Université Paris-Saclay, CNRS, LISN, 91400, Orsay, France François Portet, Université Grenoble Alpes, CNRS, Grenoble INP, LIG, 38000, Grenoble, France Xavier Tannier, Sorbonne Université, Limics, 75006, Paris, France Pierre Zweigenbaum, Université Paris-Saclay, CNRS, LISN, 91400, Orsay, France
PROGRAM COMMITTEE
The Program Committee comprises all members of the Scientific Committee listed above, joined by:
Judith Abécassis, Inria Saclay – SODA, 91120, Palaiseau, France Rémi Flicoteaux, Assistance Publique-Hôpitaux de Paris, Department of medical information, Paris, France Chuyuan Li, Université Grenoble Alpes, CNRS, Grenoble INP, LIG, 38000, Grenoble, France
KEYNOTE PRESENTATIONS
Confirmed keynote talks include: - Evaluation and implementation of LLMs for medical tasks – Stanford Medicine (USA) - Development and evaluation of a Japanese Medical LLM – RIKEN iTHEMS (Japan) - Development of open-source digital commons (models, data, tools) for generative AI in healthcare and in French - PARTAGES Consortium (France)
VENUE: PARISANTÉ CAMPUS
Join us at PariSanté Campus, the beating heart of French excellence in digital health. Founded by leading public institutions, including Inserm, Inria, Université PSL, ANS, and the French Health Data Hub, this global innovation hub unites public research, over 60 cutting-edge startups, and healthcare industry leaders.
2-10 Rue d'Oradour-sur-Glane, 75015 Paris, France