A preclinical study has shown that colorectal pre-cancerous lesions known as serrated polyps, and the aggressive tumors that develop from them, depend on the ramped-up production of cholesterol, which points to the possibility of using cholesterol-lowering drugs to prevent or treat such tumors.
When Dead & Company came to Cornell in May for a benefit concert commemorating the Grateful Dead’s famed “Cornell ’77” show, it drew thousands to Barton Hall. The March announcement of the show was the most-viewed Chronicle story of 2023.
A clinical trial led by researchers at Weill Cornell Medicine and NewYork-Presbyterian found remaining on the anti-obesity drug tirzepatide promoted additional weight loss and preserved improvements in metabolic and cardiovascular health.
An intercampus collaboration that aims to provide digital health care tools to pregnant refugee women, who are at elevated risk for pregnancy complications but often afraid to seek medical care, has been awarded a National Academy of Medicine Catalyst Prize.
A preclinical study by Weill Cornell Medicine investigators shows that a specific human genetic variant of a receptor that stimulates insulin release may help individuals be more resistant to obesity.
Removing race information from cardiovascular risk calculators – which predict the probability of developing heart disease – doesn’t affect patients’ risk scores, according to a study by Weill Cornell Medicine and NewYork-Presbyterian investigators.
Researchers at Weill Cornell Medicine have found that controlling high blood pressure may not be enough to prevent associated cognitive declines. The findings suggest new approaches to prevent damage to brain cells.
Five people who had life-altering, seemingly irreversible cognitive deficits following moderate to severe traumatic brain injuries showed substantial improvements in their cognition and quality of life after receiving an experimental form of deep brain stimulation in a phase 1 clinical trial.
Researchers have demonstrated the use of artificial-intelligence-selected natural images and AI-generated synthetic images as neuroscientific tools for probing the visual processing areas of the brain.
