Online AI-based test for Parkinson’s disease severity shows promising results
Researchers from the Hajim School and the Medical Center have developed a test for Parkinson’s disease severity that relies on 10 taps of the finger, with results available in minutes.
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.
University of Rochester reimagines its future
A new initiative asks the University community to reimagine the institution “from square one,” drawing on the lessons of the COVID-19 pandemic and financial challenges.
Skin sensors provide wealth of patient data
In one current clinical trial, biosensors worn by patients with Parkinson’s and Huntington’s disease generate 25 million measurements over a two-day period.
New smartphone app would track spread of Ebola
Node, a new smartphone app developed by Medical Center research associate Solomon Abiola, would track the spread of Ebola and other infectious diseases and allow victims to receive the help they need more quickly.