AI for clinical R&D and related technological challenges
The clinical research landscape is changing rapidly, and artificial intelligence is at the heart of this transformation. Join us on February 5 for an unmissable event bringing together industry opinion leaders, researchers and innovators. Discover a few examples of use cases, the associated technological challenges in terms of data access, transparency and performance, and examples of collaboration between major groups, research and start-ups to meet these challenges!
Program
- Data Access and Security: Dive behind the scenes of healthcare data warehouses, open data initiatives and discover best practices in data protection;
- Frugality and Performance: Gain access to the latest AI techniques, explore the use of AI agents and their orchestration, as well as the potential of Small Language Models to optimize clinical research;
- Evaluation and Transparency: Discover the specific requirements of healthcare, the criteria for evaluating results, as well as the challenges linked to automation and auditability in clinical evaluations.
Speakers
* Caroline Beaufour - Head of Clinical Development Innovation, Servier
* Mathieu Jeandron - Tech lead public sector, Amazon Web Services France
* Olivier Teboul - Head of R&D, Therapanacea
* Pierre-Louis Durel - VP Corporate Development, Yseop
* Céline Hudelot - Director of the MICS laboratory, CentraleSupélec