Sensor data from wearable devices analyzed over five years reveals walking and posture differences that predict fall risk in Parkinson’s patients. Study: Predicting future fallers in Parkinson’s ...

Computer scientists at the University of Rochester have developed an AI-powered, speech-based screening tool that can help people assess whether they are showing signs of Parkinson’s disease, the ...

Smiling videos can distinguish between people with and without Parkinson's disease, providing an easy, accessible, and cost-effective way to screen for Parkinson's, particularly when access to ...