
Science & Technology
Software uses selfies to detect early symptoms of Parkinson’s disease
Rochester computer scientist Ehsan Hoque and his colleagues have harnessed machine learning to accurately identify signs of the neurological disease by analyzing facial muscles.

Science & Technology
Student work earns national praise in data science competition
A computer model to help clinicians predict Parkinson’s disease progression has landed two Rochester undergraduates and their faculty mentor a top honor from the Michael J. Fox Foundation.