A team at UCSF developed a multitask deep learning framework that can effectively predict Alzheimer’s disease diagnosis, cognitive scores, and future cognitive decline using only baseline MRI and ...

A large European study revealed that a lower-calorie Mediterranean diet paired with exercise and coaching dramatically reduced the risk of type 2 diabetes. Participants who made these lifestyle ...

The GlucoBrain project uses advanced organ-on-chip technology to link the gut, pancreas, and brain, mapping how diabetes ...

Food insecurity identification modeling for Medicare can establish a reliable method of prioritizing members at risk of food ...

Edward Kang’s RetinaMind analyzes patients’ retinal images and accurately diagnoses neurodevelopmental disorders 89 percent ...

This article explores how AI tools are helping researchers reduce waste, optimize experiments, and accelerate discoveries, ...

OBSCORE is a data-driven tool that identifies high-risk individuals for obesity-related diseases, enhancing treatment targeting beyond traditional BMI metrics.

Guest column: For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency is the same. Carissa Véliz is an associate professor at the ...

Neuroscientist Vivienne Ming argues in her new book that the biggest risk of artificial intelligence is people using it too passively and losing the human strengths that AI can’t replicate ...

aNovo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark bDepartment of Public Health, Faculty of Health and Medical ...