Inside Precision Medicine September 14, 2022
New research from the brain research and advocacy non-profit Cohen Veterans Bioscience (CVB) has demonstrated that wearables data combined with an artificial intelligence (AI) algorithm can effectively identify people with Parkinson’s disease and those without.
The results, published last week in the journal Sensors and supported by The Michael J. Fox Foundation (MJFF), analyzed data from the Parkinson’s Progression Markers Initiative (PPMI) cohort which collected data continuously using the Verily Study Watch in a subject’s natural environment. Researchers then used these data to create and train an AI algorithm to see if it could detect the PD from a person’s daily activity.
In the proof-of-concept study, the research team used inertial sensor data from the Verily Study Watches worn by...
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