Congratulations to Media Lab alum @ehsan_hoque on being inducted into the American Institute for Medical and Biological Engineering (@AIMBE) College of Fellows as part of the 2026 class! https://t.co/1BtjEZyKmI
"The most dangerous feeds are not the ones that upset us, but the ones that convince us we are always right," says @UofR PhD student Adiba Proma. New #URochesterResearch says slight design tweaks could reduce echo chambers on social media @rochci https://t.co/rtpwI6aWyr
A University of Rochester computer science grad student is collecting data for research that could allow AI to detect the early signs of Parkinson's disease from your home. https://t.co/dDAs1tVFgN
A great look at how @UofR computer scientists are developing #AI tools to expand access to screening for Parkinson's Disease, helping people receive critical early care. #URochesterResearch@ehsan_hoque@rochci
Congrats to Junjie Zhao on receiving an Honorable Mention for the CRA Outstanding Undergraduate Researcher Award
From advancing SOPHIE (our AI virtual patient for medical training) to winning the pumpkin-carving award 🎃Junjie proves versatility.
From pumpkins to patients.
Congratulations to Professor @ehsan_hoque on being named one of five finalists for the 2025 Letten Prize!
The Letten Prize celebrates early-career researchers making a real-world difference — and Professor Hoque's work exemplifies that mission. #URochesterResearch
Congratulations to Media Lab alum @ehsan_hoque, now a professor at @UofR, on being named as a finalist for the 2025 @lettenprize! https://t.co/bAAWFJWsy3
“Research shows that nearly 89 percent of people with Parkinson’s have a deformity in their voice that can be indicative of the disease, making speech a strong starting point for digital screening,” said Tariq Adnan. https://t.co/L0N8BUTYak
AI Pinpoints Parkinson’s Risk From Simple Voice Test.
Researchers at the University of Rochester developed an AI system that detects early signs of Parkinson’s disease using speech analysis from a single English pangram. Published in npj Parkinson’s Disease, the tool analyzes subtle vocal changes—often preceding motor symptoms—and achieved 85.7% accuracy using a web-based microphone interface.
https://t.co/lkNoItNAf7 More articles like this? https://t.co/KvVzMBfIcx #Futureloop
A new AI-powered, speech-based screening tool could help people assess whether they are showing signs of Parkinson's disease at home. https://t.co/CXt6hN0Exp
Speaking for just a few seconds is enough for this AI-powered, web-based tool to tell you if you are likely to develop Parkinson's disease.
https://t.co/b1QI5eSHDV
A @UofR computer science PhD student from the @rochci lab spoke to Newsweek about their new AI-powered, speech-based screening tool could help people assess whether they are showing signs of Parkinson's disease at home @ur_engineering#URochesterResearch https://t.co/lY4FBlpaek
What if Alexa detected Parkinson's?
Grad students at @ur_engineering have outlined a speech-based AI tool to screen for signs of neurodegenerative disease
It's another way Rochester researchers are harnessing AI for the public good https://t.co/ji0nUPV7gU
#URochesterResearch
Could Alexa help people find out if they have Parkinson's disease? Computer scientists at @UofR developed a speech-based AI tool that can screen for a key indicator of the neurodegenerative disease #URochesterResearch Story:https://t.co/pV5IiAd0dZ
Study: https://t.co/rm4VzXDlhc