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AI-Powered Test Diagnoses Arthritis in 10 Minutes with High Accuracy

Researchers in South Korea validate a nanotechnology-based diagnostic platform that differentiates arthritis types and assesses RA severity with over 94% accuracy in clinical trials.

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Overview

  • The diagnostic platform uses synovial fluid analysis combined with Raman Scattering (SERS) and AI algorithms to distinguish osteoarthritis from rheumatoid arthritis within 10 minutes.
  • Clinical trials involving 120 patients demonstrated over 94% accuracy in disease differentiation and more than 95% accuracy in evaluating rheumatoid arthritis severity.
  • The technology features a sea urchin-shaped gold SERS sensor on paper, amplifying molecular signals for efficient and precise detection of arthritis biomarkers.
  • Published in the journal *Small*, the findings highlight the platform's potential to reduce diagnostic costs and time while improving early-stage arthritis detection.
  • Researchers plan to expand the platform's applications to diagnose other diseases, with commercialization prospects drawing significant attention.