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.
At-home sensors can spot Parkinson’s during sleep
A device that passively monitors breathing during sleep not only detects Parkinson’s, but also tracks the disease’s progression over time.
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.
Mobile apps could hold key to Parkinson’s research
A new Medical Center study shows that smartphone technology can accurately track the severity of the symptoms of Parkinson’s disease. The findings could help researchers and clinicians develop new drugs and better treatments for this challenging disease.
Neurologist calls Parkinson’s ‘imminent pandemic’
Writing in the journal JAMA Neurology, Medical Center neurologist Ray Dorsey and his co-author argue that the medical community must be mobilized to respond to Parkinson’s disease, the fastest growing cause of disability.
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.
Telemedicine program will extend Parkinson’s care across state
The Parkinson’s Disease Care New York program, launched by neurologists at UR Medicine, will serve as a national model and provide free care to as many as 500 underserved patients across New York.
Parkinson’s app first to be included in Apple’s new ‘CareKit’ platform
The mPower app gathers real-time data from Parkinson’s patients in an effort to understand how the disease affects daily life and allows patients to track their symptoms and treatments.