A risk prediction model using longitudinal eGFR data could help identify kidney transplant recipients at risk for graft ...

Chase Markel, a University of Wyoming Ph.D. student from Wheatland, is harnessing artificial intelligence to transform how animal scientists study risk factors for congestive heart failure in cattle.

New normative data and a web-based kidney calculator help doctors detect kidney disease early by comparing eGFR scores to age ...

A multimodal sleep foundation model based on polysomnography data can predict the risk for multiple conditions.

Using information in medical records for more than 1,100 emergency room visits, researchers at Johns Hopkins Children's ...