Through
11/26
A round-up of Penn mentions in local, national, and international media.
Penn In the News
Mitchell Lazar of the Perelman School of Medicine says distribution of fat plays a major role in determining how deleterious added weight is.
Penn In the News
Danielle Sandsmark of the Perelman School of Medicine says that many factors influence dementia risk, and social isolation would be just one.
Penn In the News
In her four years as chief financial officer for Penn Medicine’s Hospital of the University of Pennsylvania, Julia Puchtler has collaborated on several big capital projects, including the expansive Pavilion.
Penn In the News
Bruce A. Brod of the Perelman School of Medicine says there is evidence that some chemical sunscreens are absorbed into the bloodstream after being applied to the skin, but there’s no current evidence to show that sunscreens absorbed in the skin are harmful.
Penn In the News
Michael Mann of the School of Arts & Sciences comments on the false notion that any one nation can solve climate change on its own as it’s a problem that requires international cooperation.
Penn In the News
Brian Berkey of the Wharton School is quoted on who might be responsible for the cleanup of 2,000 potentially dangerous lead-covered telephone cables.
Penn In the News
Yvette Sheline of the Perelman School of Medicine is quoted on how many cultures have used different variations of mindfulness, and that classes are generally affordable and accessible in most cities.
Penn In the News
Heath Schmidt of the School of Nursing explains how addictive drugs such as cocaine and opioids are generally thought to “hijack” the brain’s natural reward pathways and why semaglutide is complicated in relation to addiction.
Penn In the News
David Metz of the Perelman School of Medicine explains how too much water causes electrolyte disturbances and seizures.
Penn In the News
The research of Chris Callison-Burch, Liam Dugan, and Daphne Ippolito of the School of Engineering and Applied Science is the subject of this article on a new challenge for internet users: how to tell whether something was written by a human or a machine.