Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.

Insulin resistance - when the body doesn't properly respond to insulin, a hormone that helps control blood glucose levels - ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

Penn researchers at the School of Dental Medicine have developed an artificial intelligence-powered process that identifies risk factors associated with tooth decay. The team utilized machine learning ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...

Core Factors launches Evidentra®, an AI coach assistant that supports reflection and continued development between ...

A University of Michigan study used AI to create a digital twin replica of gliomas to shed light on the metabolic pathways activated by brain tumors.