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Predictive Medicine: Rethinking Rheumatoid Arthritis

Predictive Medicine: Rethinking Rheumatoid Arthritis

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 Rheumatoid arthritis is often seen as “just” joint pain, but Mayo Clinic rheumatologist Dr. John Davis and University of Colorado researcher Dr. Kevin Deane reveal a far more complex and promising story. In this episode of Tomorrow’s Cure, host and journalist Cathy Wurzer explores how autoimmune disease can quietly develop for years before the first swollen joint, and how new blood tests, gut microbiome insights, and the exposome, our lifetime of environmental exposures such as cigarette smoke and wildfire haze, are helping clinicians see risk much earlier. The conversation dives into emerging tools that use artificial intelligence to sift through genetics, autoantibodies, microbiome data, and real-world exposures to predict who is most likely to develop rheumatoid arthritis and who will respond to specific treatments. Hear how prevention trials, lessons from type 1 diabetes, and more virtual models of care could change what it means to live with, or even avoid, rheumatoid arthritis in the future. How to listen and stay connected: Subscribe to Tomorrow’s Cure on your favorite podcast app and follow the show so you never miss an episode. Get the latest health information from Mayo Clinic’s experts—subscribe to Mayo Clinic’s newsletter for free today: https://mayocl.in/3EcNPNc Connect with Mayo Clinic: Like Mayo Clinic on Facebook: https://www.facebook.com/mayoclinic/ Follow Mayo Clinic on Instagram: https://www.instagram.com/mayoclinic/ Follow Mayo Clinic on X (formerly Twitter): https://x.com/MayoClinic Follow Mayo Clinic on Threads: https://www.threads.net/@mayoclinic
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