Predicting early intervention and treatment of rheumatoid arthritis made easy with AI

Deep immunophenotyping reveals circulating activated lymphocytes in individuals at risk for rheumatoid arthritis
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‘Did You Know?
AI could predict and prevent rheumatoid arthritis before it starts! #aiinmedicine #rheumatoidarthritis #earlydetection #autoimmuneresearch #arthritisprevention #medicalbreakthrough #medindia’

AI could predict and prevent rheumatoid arthritis before it starts! #aiinmedicine #rheumatoidarthritis #earlydetection #autoimmuneresearch #arthritisprevention #medicalbreakthrough #medindia’





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AI’s Role in Predicting Rheumatoid Arthritis
Dr. Fan Zhang uses AI to predict rheumatoid arthritis (RA) before symptoms appear. As a CU Anschutz professor, she applies machine learning to large-scale clinical data to identify at-risk individuals. Her research aims to enable early intervention and prevention, supported by a competitive Arthritis Foundation grant.Advertisement
Immune Markers & Risk Factors
Rheumatoid arthritis (RA) is a chronic disease where the immune system attacks healthy tissue, causing inflammation. It affects millions worldwide, mostly women, and has no cure.While early immune changes can be detected, not everyone with these signs develops rheumatoid arthritis. Dr. Fan Zhang uses AI to analyze large-scale patient data, aiming to predict who is most at risk and enable early prevention.
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Future of Rheumatoid Arthritis Prevention
Dr. Fan Zhang’s latest study identifies immune cell changes that may predict rheumatoid arthritis (RA). With a $150,000 grant, her team will use AI to analyze data from a major preclinical trial, aiming to pinpoint early signs of RA. This research could lead to better prevention strategies, but larger studies are needed to confirm the findings.Reference:
- Deep immunophenotyping reveals circulating activated lymphocytes in individuals at risk for rheumatoid arthritis - (https://www.jci.org/articles/view/185217)
Source-University of Colorado Anschutz Medical Campus