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Dr. Jean-François Ethier discusses the possibilities offered by digital twins and, more broadly, by artificial intelligence in both disease prevention and treatment.

Dr. Ethier explains how digital solutions using disseminated health data and research results will help provide clearer, faster diagnoses.

Prof. Anita Burgun, researcher at GRIIS, explains how patient similarity, a very useful methodology in precision medicine, has proved its worth in the diagnosis of rare diseases, and the importance of exploiting in research the social data of people with rare diseases, in collaboration with patient associations.

The Fonds de recherche du Québec presents the results of research carried out by Dr. Ethier and GRIIS, who developed PARS3, a virtual infrastructure that pools healthcare data, which will be considered as part of the Dossier santé numérique digital health record project.

Dr. Ethier talks about a solution involving citizens directly to limit inappropriate access to medical data.

This scientific gathering will provide an introduction to the challenges of implementing digital health projects.

Modelling clinical knowledge and designing databases for learning health systems.

Israel will serve as a live laboratory for large-scale testing of vaccine efficacy.

Dr. Jean-François Ethier discusses health technology gaps and IT solutions to address them.