Researchers have begun to use artificial intelligence tools to predict drug treatment outcomes in rheumatoid arthritis.

‘Predicting a response to rheumatoid arthritis medication using artificial intelligence and biomarkers is a very promising development in treating the disease.’

The treatment options for rheumatoid arthritis have often relied on trial and error.




A new study focused on predicting the response to methotrexate, one of the most commonly rheumatoid arthritis medications.
Applying patient data that included genomic, clinical, and demographic information, researchers used AI to determine an initial response to methotrexate in patients with early-stage rheumatoid arthritis.
Data used in the study came from a collaboration between Mayo Clinic and the Pharmacogenetics of Methotrexate in Rheumatoid Arthritis (PAMERA) consortium, that led to early genome-wide association studies.
By predicting response to methotrexate, researchers identified which patients are most likely to benefit from this medication in the first three months of treatment.
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