ENDOMIC (ENDOtyper les Maladies Inflammatoires Chroniques) specializes in precision medicine approaches using health data and artificial intelligence, contributing to the dynamics of our academic site within the France 2030 Excellence Initiative, which includes the University of Lille, Lille University Hospital, INSERM and INRIA. ENDOMIC is hosted by INFINITE (Institute for Translational Research in Inflammation) (Inserm U1286, University of Lille, CHU Lille).
Our team is also involved in an AI and Health Chair (ARCHIE) in partnership with KU Leuven and leads the HORIZON Marie Skłodowska-Curie Actions (MSCA) Thunder project.
Credit for image: @UFR3S-COMMUNICATION

The overall objective of the THUNDER project is to forge a comprehensive framework for trustworthy and responsible generative AI in healthcare
Systemic sclerosis (SSc) is a rheumatological disease belonging to the group of connective tissue diseases.
Using an integrative multi-omics analysis, we suggested that anti-nuclear antibodies could be a relevant tool for endotype definition.
Machine learning algorithms find natural patterns in data that generate insight and help to make better decisions and predictions.