AI-enabled ECG biological age (ECG-BA) improves disease risk classification beyond chronological age, enhancing early detection of aging-related conditions like heart disease, Alzheimer’s, and cancer.
MU researcher receives $3 million grant to use gene editing for investigating the building blocks of disease
In a new study funded by a $3 million grant from the National Institutes of Health (NIH), University of Missouri researcher Kiho Lee, an associate