At the Cornell Business Impact Symposium, keynote speaker Ashish Gadnis described a pathway to positive social impact that could help people around the world rise from poverty, reduce gender inequality, vanquish black markets and bring light to shadow economies.
Online continuing education courses developed by faculty in the Division of Nutritional Sciences (DNS) – one about infant and young child feeding for a global audience, and another about policy, systems and environmental (PSE) approaches to improving nutrition in the U.S. – address critical topics including undernutrition, maternal and child health, and childhood obesity.
Powerful lab and computational techniques developed by scientists at Weill Cornell Medicine and two other centers will enable scientists to map tumors’ ability to develop resistance to drugs.
New cellular and molecular processes underlying communication between gut microbes and brain cells have been described for the first time by scientists at Weill Cornell Medicine and Cornell’s Ithaca campus.
Two lethal viruses, Nipah and Hendra, may be more potent when their proteins are combined, according to new research from Hector Aguilar-Carreno, associate professor of microbiology and immunology.
A Cornell startup is working with the Performance Apparel Design Lab to take its wearable sensor technology, which can track the movement of athletes, and use it to monitor pilots undergoing high-gravitational-force training.
The National Institutes of Health has awarded a $26.5 million grant to a group that includes Weill Cornell Medicine, which aims to both silence and permanently remove HIV from the body.
Cornell’s New York City campuses also have embraced and encouraged new technology, directions and platforms to increase engagement and boost research and real-world connections.
Fascinating science is being done at the New York State Agricultural Experiment Station (NYSAES), and student researchers are eager to share their work June 23 from 9 a.m. to 3:30 p.m. at Jordan Hall.
A Cornell-led team took an interdisciplinary approach to analyzing the behavior of breast tumor cells by employing a statistical modeling technique more commonly used in physics and economics.