Parkinson’s disease, a progressive brain disorder, is often tough to treat effectively because its symptoms—such as tremors and walking difficulties—can vary dramatically over a period of days, or even hours.
To address this challenge, Johns Hopkins University computer scientists, working with an interdisciplinary team of experts from two other institutions, have developed a new approach that uses smartphone sensors to generate a score that reliably reflects symptom severity in patients with Parkinson’s disease.
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