Clinical decision support (CDS) software plays an increasingly central role in health-care delivery, yet the ambiguous interpretations of regulations result in inconsistent application in clinical ...

Researchers at the University of California, San Francisco have found that machine-learning analysis of brain waves recorded during sleep can identify women at risk of cognitive decline up to five ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...

The model has the potential to transform the ability to study telomere biology, learn more about human aging, and ultimately help people preserve better health as they age.

We present one of the first comprehensive evaluations of predictive information derived from retinal fundus photographs, ...

Genomics can help to identify people who are more likely to develop glaucoma potentially long before any symptoms of the ...

A new synthesis finds that common epilepsies are driven by thousands of tiny-effect genetic variants, most still ...

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...

Objective To develop and validate an interpretable machine learning (ML)-based frailty risk prediction model that combines real-time health data with validated scale assessments for enhanced ...

Abstract: The recent AI development has provided effective solutions to address current problems and improve decision making process. The article takes a case study in Data and Information Centre ...

Study: A multimodal sleep foundation model for disease prediction. Image credit: AnnaStills/Shutterstock.com In a recent study published in Nature Medicine, researchers developed a multimodal sleep ...