A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction
by Justin Jackson, Medical Xpress edited by Sadie Harley, reviewed by Robert Egan Editors’ notes Credit: Pixabay/CC0 Public Domain Craif Inc. in Nagoya, Japan, working with Nagoya University’s Institute of Innovation for Future Society, has developed a urine-based biological aging clock. In validation of the method, predicted ages came within 4.4 years of chronological age on average. Aging, […]
