ENDOMIC (ENDOtyper les Maladies Inflammatoires Chroniques) specializes in precision medicine approaches using health data and artificial intelligence, which is part of the dynamics of our academic site (France 2030 Excellence Initiative including the University of Lille, the Lille University Hospital, INSERM and INRIA). ENDOMIC is hosted at INFINITE (Institute for Translational Research in Inflammation) Unit (Inserm U1286, University of Lille, CHU Lille).
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.
Abstract Objectives Anti-RNA polymerase III antibodies (ARA) are frequent in systemic sclerosis (SSc). However, the reported prevalence …
Abstract Objectives This study assessed how changes in lung function, skin fibrosis and digital ulceration (DU) burden predict …