Preliminary results from a study of about two dozen Parkinson’s patients suggest that the patterns the algorithm detects can distinguish people who have the disease from those who don’t. If the findings are validated in larger studies, the researchers believe, this approach could lead to much earlier diagnosis for Parkinson’s and aid in the development of better treatments.

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