Machine learning identifies the immunological signature of Juvenile Idiopathic Arthritis
Erika Van Nieuwenhove, Vasiliki Lagou, Lien Van Eyck, James Dooley, Ulrich Bodenhofer, An Goris, Stephanie Humblet-Baron, Carine Wouters, Adrian Liston
This study uses machine learning to identify an immunological signature specific to Juvenile Idiopathic Arthritis (JIA) with ~90% diagnostic accuracy.
bioRxiv · Aug 1, 2018 · PreprintImmunology