Collecting data at home could help provide a less subjective measurement than evaluations at the doctor’s office, which can be affected by outside factors. The technology could also help pharmaceutical and biotech companies developing new therapies for Parkinson’s, which is the world’s fastest-growing neurological disease.
In a one-year study with 50 patients, machine learning algorithms analyzed the data to help clinicians track Parkinson’s progression and medication response more effectively than periodic evaluations in a medical facility, MIT said in a news release. The study fund that gait speed declined ne…