Chinese scientists have developed an AI-based method to identify Parkinson’s disease with 94% accuracy through the analysis of earwax. This non-invasive technique, focusing on specific scent markers, offers a promising, cost-effective alternative for early diagnosis. If expanded, it holds the potential to improve early intervention and management of this condition effectively.
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