At the interface between life sciences, medicine, mathematics, and artificial intelligence, in silico models are profoundly transforming research and healthcare practices. This event aims to bring together clinicians, mathematicians, and engineers to explore recent advances, scientific challenges, and the opportunities offered by these digital approaches.

Based on numerical simulation and the use of large-scale data, in silico models now make it possible to better understand biological mechanisms, anticipate disease progression, optimize clinical trials, and tailor treatments to individual patients. Advances in artificial intelligence—particularly in machine learning and multiscale modeling—are paving the way for a more predictive, preventive, and personalized medicine.

The day will be structured around several key themes:

• Modeling of biological and pathophysiological systems
• Integration of medical knowledge into digital twins
• Artificial intelligence for diagnosis and clinical decision support
• Simulation of clinical trials and personalized medicine
• Ethical, regulatory, and validation challenges of models

Through presentations of recent work (oral communications and posters), as well as a roundtable discussion, this event will foster interdisciplinary exchanges and encourage the development of new collaborations. It will also provide a space for reflection on how these models can be integrated into medical practice and on their broader societal impact.

This event is intended for all stakeholders interested in healthcare innovation who wish to deepen their understanding and contribute to shaping the future uses of in silico models.

June 23, from 9:30 a.m. to 6:30 p.m.

Campus Cyber, 5-7 Rue Bellini, 92800 Puteaux, Rooms CYBERB101 et B102.