Machine Learning for the Identification of a Common Signature for Anti-SSA/Ro 60 Antibody Expression Across Autoimmune Diseases.

Nathan FoulquierChristelle Le DantecEleonore BettacchioliChristophe JaminMarta E Alarcón-RiquelmeJacques-Olivier Pers

Published in: Arthritis & rheumatology (Hoboken, N.J.) (2022)

Anti-Ro 60+ patients present with a specific inflammatory signature regardless of their disease type, suggesting that a dual therapeutic approach targeting both Ro-associated RNAs and anti-Ro 60 autoantibodies should be considered.

Keyphrases

machine learning
end stage renal disease
ejection fraction
newly diagnosed
systemic lupus erythematosus
prognostic factors
oxidative stress
artificial intelligence
binding protein
bioinformatics analysis