First worldwide trial tests defibrillators in diabetes patients
Individuals with diabetes have a high incidence of heart problems. A Medical Center study will determine if implantable defibrillators increase survival in this growing group of patients.
Tibet sediments reveal climate patterns from millions of years ago
The Tibetan Plateau in China experiences some of the most extreme weather patterns on Earth, making it an ideal location for Rochester climate scientists to student the complex web of global climate patterns.
A new way to teach history in the 21st century
A “virtual” re-creation of early settlements on Smith’s Island, Bermuda, offers professor Michael Jarvis and his students immersive experience of the site they are working to excavate.
Big library, big data
“Libraries have been managing data for centuries,” says Marcy Strong, head of metadata service at River Campus Libraries. And in the new field of data science, practitioners will rely on work University librarians have long done.
Unlocking the secrets of blue notes
In the musical realm, notes “between the cracks” of conventional pitches are called blue notes. Researchers at Rochester are using advanced tools of music technology to unlock the secrets of blue notes.
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.
On the hunt for asteroids to avoid ‘near miss’ with Earth
In 2013, a group of Rochester and NASA scientists proposed the NEOCam, or “Near-Earth Object Camera,” based on an infrared detector developed here in Rochester. This year, NASA announced extended funding for the program.
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.
Imaging at the speed of light
Chunlei Guo and his team have used lasers to make materials extremely water repellent. Now the researchers can visualize, for the first time, the complete evolution of micro- and nanoscale structural formation on the material’s surface.
Machine learning advances human-computer interaction
Machine learning provides computers with the ability to learn from labeled examples and observations of data. Researchers at Rochester are developing computer programs incorporating machine learning to teach robots and software to understand natural language and body language, make predictions from social media, and model human cognition.