AI models for precision medicine

GRIIS - COVID19 - press review June 2020

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.

Driving research into learning health systems

Québec

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.