An artificial intelligence-powered method for detecting tumor DNA in blood has the potential to improve cancer care with the very early detection of recurrence and close monitoring of tumor response during therapy.
The fireside chat was part of a two-day visit by Dr. Robert M. Califf, commissioner of the U.S. Food and Drug Administration, who focused on medicine and health care innovations.
While a strain of highly pathogenic avian influenza virus has been detected in dairy cattle in nine states – not including New York state – the commercial milk supply continues to be safe, according to a panel of experts.
Eating flours, burgers and fitness bars made from crickets, mealworms or black soldier fly larvae could help feed a growing global population sustainably, but it might hit resistance from those who follow halal or kosher regulations.
Researchers at Weill Cornell Medicine and NewYork-Presbyterian found that a self-guided cognitive behavioral therapy app significantly reduced anxiety in young adults struggling with mental health challenges.
Specialized nursing facility clinicians, or SNFists, may decrease the likelihood of nursing home residents experiencing stressful hospitalizations and improve the quality of life in their last days, according to researchers from Weill Cornell Medicine.
Vaccinating mothers against RSV during late pregnancy to protect their newborns is not associated with an increased risk of preterm birth or other poor outcomes, according to Weill Cornell Medicine and NewYork-Presbyterian investigators.
Alessio Accardi, professor of physiology and biophysics in anesthesiology at Weill Cornell Medicine, has been awarded a five-year, $2.7 million grant for fundamental research on cell membrane proteins that have critical roles in biology and are involved in numerous human diseases.
Cornell researchers have developed a bioelectric device that can detect and classify new variants of coronavirus, and potentially other viruses, such as measles and influenza, to identify those that are most harmful.
Using experiments with COVID-19 related queries, Cornell sociology and information science researchers found that in a public health emergency, most people pick out and click on accurate information.