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Data-driven discovery of candidate predictors of future rheumatoid arthritis diagnosis in the UK biobank.

Key takeaways

Researchers ran machine learning over 445,515 UK Biobank participants, including 4,510 who later developed rheumatoid arthritis, to find early signs of that disease. Follow-up ran about 8.4 years on average. The design tracks people over time without assigning anything, so any signal is a link and not proof of cause. The topic is joint disease, not kidney disease.

Who did this work

Pham K · Madakkatel I · Mulugeta A · Lumsden A · Hill C · Hyppӧnen E

Source

Article · PubMed, CKD progression and prevention · 2026 Aug 21
https://pubmed.ncbi.nlm.nih.gov/42679471/