Building Commons for Clinical LLMs | International Conference

October 1 & 2, 2026, Paris 

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conf clinical LLMs

While Large Language Models (LLMs) offer transformative potential for healthcare professionals, their development is subject to strict regulatory frameworks governing clinical data access. 

Beyond this hurdle, most generic models lack the deep domain expertise required for clinical accuracy, a limitation that is even more pronounced in non-English speaking environments. Furthermore, given the non-deterministic nature of LLMs, their use in a medical context presents inherent patient safety risks. This necessitates absolute precision and the establishment of standardized clinical benchmarks to rigorously evaluate model performance across diverse medical specialties.

Conference Objectives and Content

This conference aims to: 

  • Present recent research and findings on LLMs in healthcare, with a particular focus on open-source and collaborative approaches.
  • Foster discussion & collaboration on the major regulatory, scientific, technical and ethical challenges associated with LLMs in healthcare.
  • Open a dialogue with industry stakeholders to compare research findings with real-world applications, limitations, and the conditions for deployment.
  • Address the associated regulatory and ethical challenges, in relation to existing and emerging frameworks, and their impact.
     

What to Expect:

  • 120 participants: researchers, healthcare & industry professionals
  • Day 1 (October 1st) : 6 keynote spotlights, 2 high-level panel sessions and dedicated poster & networking sessions
  • Day 2 (October 2nd): 3 collaborative workshops

The conference will feature an international lineup of speakers pushing the frontiers of the use and challenges of LLMs in healthcare. Detailed schedule coming soon!


SAVE THE DATE
October 1 & 2, 2026, Paris (France)
Fill out this form to pre-register

A confirmation email regarding your registration status will be sent by the organizing committee.
 

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

Program

Day 1

Keynote Presentations :

  • Generative AI in Health: Global Trend in 2026 - Daniel Ting, Duke NUS, Singapore
  • MeditronFO: a fully open pipeline to create medical expert LLMs - Lars Klein, EPFL, Switzerland
  • Guideline for responsible development, validation, implementation, and monitoring of generative artificial intelligence in healthcare: The GENAISIS Framework and Guideline - Carl Moons, UMC Utrecht, Netherlands
  • Building Ecosystem to Develop Medical LLM in Native Language - Jun Seita, RIKEN, Japan
  • From Answers to Action: Building the Evaluation Stack for Healthcare AI - Suhana Bedi, Stanford Medicine, USA
  • PARTAGES : Advanced Development of Digital Commons for Generative Artificial Intelligence in Health - Aurélie Névéol, LISN, France


Panel Discussions:

  1. Building Commons for Clinical LLMs: Models, Training Dataset, Cross-Lingual Challenges, and Governance
  2. Deploying LLM-Based Solutions into Clinical Practice: Challenges, Governance & Perspectives 


Download the programme


Day 2

The second day will be designed as a collaborative working sessions, with the objective of moving from scientific discussions to concrete opportunities for international cooperation. Stay tuned! 

Call for Posters (closed)

In addition to a series of keynote presentations and panel discussions, the conference will feature a dedicated poster session showcasing research from academia, hospitals, and the healthcare industry.

Status: Poster submissions are now officially closed.
Notification of acceptance: August 31, 2026 

Scientific Committee

  • Emmanuel Bacry, Scientific Director at the French Health Data Hub and CNRS Research Director at Université Paris Dauphine - PSL (CEREMADE), PR[AI]RIE-PSAI, Paris, France
  • Aurélie Névéol, CNRS Research Director, and Head of the STL Department, LISN, CNRS, Université Paris-Saclay, Orsay, France
  • François Portet, Professor at Grenoble Alpes University, CNRS, LIG, Grenoble, France
  • Xavier Tannier, Professor, Limics, Sorbonne Université, Paris, France
  • Pierre Zweigenbaum, Emeritus CNRS Senior Researcher, LISN, CNRS, Université Paris-Saclay, Orsay, France
     

Program Committee

The Program Committee comprises all members of the Scientific Committee listed above, joined by:

  • Judith Abécassis, Inria Saclay - SODA, Palaiseau, France
  • Rémi Flicoteaux, Assistance Publique-Hôpitaux de Paris, Department of medical information, Paris, France
  • Chuyuan Li, Université Grenoble Alpes, CNRS, LIG, Grenoble, France
flyer building commons

For any questions, please contact: jean-baptiste.briand@health-data-hub.fr