Chronic kidney disease (CKD) constitutes a major global health challenge, affecting millions and often remaining undiagnosed until advanced stages. Recent advances in machine learning have ...

In a recent IEEE Transactions on Neural Systems and Rehabilitation Engineering study, researchers discuss the development of an automated system using machine learning (ML) algorithms that can ...

Background: Multimorbidity, the co-occurrence of 2 or more chronic conditions, is important in patients with inflammatory bowel disease (IBD) given its association with complex care plans, poor health ...

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

UC San Francisco scientists have found a way to predict Alzheimer’s disease up to seven years before symptoms appear by analyzing patient records with machine learning. The conditions that most ...