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A new initiative aims to make detection of Parkinson’s disease as easy as making a phone call. Computer algorithms developed by TED Fellow and applied mathematician Max Little can analyze vocal recordings for characteristic anomalies in an individual’s voice brought on by the disease.
The noninvasive method can detect Parkinson’s with 86 percent accuracy in blind testing of 50 voices, and the rate increases to 99 percent when individual’s have mid to late stage Parkinson’s.
