Machine learning identifies the immunological signature of Juvenile Idiopathic Arthritis
E. Van Nieuwenhove, V. Lagou, L. Van Eyck, J. Dooley, U. Bodenhofer, A. Goris, S. Humblet-Baron, C. Wouters, A. 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