A new method can illuminate the identities and activities of cells throughout an organ or a tumor at unprecedented resolution, according to a study co-led by researchers at Weill Cornell Medicine and the New York Genome Center.
The researchers used a machine-learning algorithm to spot symptom patterns in the health records of nearly 35,000 U.S. patients who tested positive for SARS-CoV-2 infection and later developed lingering long-COVID-type symptoms.
A first-of-its-kind study of parents’ work arrangements during the pandemic shows that mothers working from home increased their supervisory parenting fully two hours more than fathers did, and women were also more likely to adapt their work schedules to new parenting demands.
Celebrating graduation and each other, students in the Executive Master of Health Administration and Executive Master of Public Administration programs at the Cornell Jeb E. Brooks School of Public Policy received diplomas at a joyful ceremony in Willard Straight Hall.
An artificial intelligence algorithm can determine non-invasively, with about 70% accuracy, if an in vitro fertilized embryo has a normal or abnormal number of chromosomes, according to a new study from researchers at Weill Cornell Medicine.