Machine Learning Analysis of Whole-Blood Transcriptomics Data in Rheumatoid Arthritis Patients Treated with Adalimumab Identifies Predictive Biomarkers of Response.
Journal:
Arthritis & rheumatology (Hoboken, N.J.)
Published Date:
May 26, 2025
Abstract
OBJECTIVES: Tumor necrosis factor inhibitors (TNFi) have significantly improved rheumatoid arthritis (RA) management, yet variability in patient response remains a substantial challenge, with approximately 40% of patients discontinuing TNFi due to non-response or adverse effects. This study aimed to identify biomarkers predictive of adalimumab treatment response using whole blood transcriptomics, leveraging machine learning models for data mining followed by targeted statistical analysis.
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