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.