Articles
Clinical test may predict best rheumatoid arthritis biologic for each individual
Researchers at Queen Mary, University of London, have developed a machine-learning test that predicts the optimal biologic therapy for rheumatoid arthritis patients with 79-85% accuracy. This innovation could revolutionise treatment by directly targeting specific disease mechanisms, potentially reducing patient suffering and avoiding ineffective treatments that compromise the immune system.
Rheumatoid arthritis is a painful, progressive joint disease characterised by particularly acute flare-ups. Biologics, used to treat autoimmune diseases such as rheumatoid arthritis, target symptom mechanisms without compromising the entire immune system.
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