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AI Earwax Screening Method Achieves 94% Accuracy for Parkinson's Detection

CHINA, JUN 17 – Chinese researchers developed an AI system that detects Parkinson's disease by analyzing earwax biomarkers with 94% accuracy, offering a non-invasive and low-cost early diagnostic tool.

  • In China, researchers unveiled an AI system trained on earwax VOCs, achieving 94.4% accuracy in detecting Parkinson's disease.
  • Current evaluations often miss early Parkinson's diagnosis, prompting exploration of non-invasive screening methods to enable earlier intervention and improved outcomes.
  • Researchers analyzed earwax from 209 participants using GC-MS, identifying four VOC biomarkers linked to Parkinson's with 94.4% accuracy.
  • This low-cost, non-invasive earwax analysis method could revolutionize early Parkinson’s detection and cut screening costs, aiding primary care diagnosis.
  • Researchers plan multi-center trials including diverse populations and disease stages to validate earwax VOC analysis for Parkinson’s diagnosis.
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Medical Xpress broke the news in on Tuesday, June 17, 2025.
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