Particle.news

Download on the App Store

AI-Driven Test Diagnoses Arthritis in 10 Minutes With Over 94% Accuracy

Researchers in South Korea validate a novel diagnostic platform using synovial fluid, SERS, and AI, achieving rapid and precise differentiation of arthritis types and severity.

Image

Overview

  • The diagnostic platform distinguishes osteoarthritis from rheumatoid arthritis and assesses RA severity with over 94% and 95% accuracy, respectively, in clinical trials with 120 patients.
  • The method employs surface-enhanced Raman scattering (SERS) technology combined with AI algorithms to analyze synovial fluid biomarkers.
  • A sea urchin-shaped gold nanostructure sensor on moisture-absorbing paper enhances precision and usability in clinical settings.
  • The findings, published in the April 2025 issue of *Small*, highlight the platform's potential to replace traditional diagnostic methods like X-rays and MRIs, which are slower and less conclusive.
  • Researchers plan to commercialize the technology and explore its application for diagnosing other diseases in the future.