The health and social protection systems in France and in Europe involve numerous actors: hospitals, social services, companies, universities and research and regulation centers. Data is collected from multiple sources, and while personalised patient information can revolutionize diagnosis and treatment, the real problem is capturing, storing, and understanding it. With AI, health becomes smart health, making true the promises of the P4 (Predictive, Personalized, Preemptive, Participative) vision of medicine. The CHU of Grenoble possesses both the data acquisition tools (a data lake that will be part of the French hub for AI in Health, clinical metabolomics platform) and the environment to develop and test AI-based devices (it hosts one of the 8 French Centers for Clinical Investigation and Technological Innovation). Furthermore, Grenoble is a major place of AI technologies for health, thanks to its interdisciplinary skills and its long-standing cooperation between physicians, mathematicians, computer scientists, chemists and industrial actors. Our strategy within MIAI is to enlarge these perspectives through a continuous effort on data collection and the development of new AI-based tools for omics, improved health trajectories, improved computerized assistants and augmented patient empowerment. Some of these issues are addressed in the chairs below:
  • Philippe Cinquin - Deep Care: Patient Empowerment via a Participatory Health Project 
  • Emmanuel Mignot (International) & Jean-Louis Pépin - My Way to Health 'trajectories medicine' 
  • Thomas Burger & Julien Thévenon - Artificial Intelligence for High throughput biomedical investigations 
  • Jocelyne Troccaz & Sanderine Voros - Computer-Assisted Medical Interventions (CAMI) Assistant 
Published on  December 5, 2023
Updated on December 5, 2023