A computer algorithm has achieved 98% accuracy in predicting different diseases by analyzing the color of the human tongue. The proposed imaging system developed by Iraqi and Australian researchers ...

Researchers at Penn State College of Medicine have developed a new artificial intelligence algorithm that may lead to improved predictions and novel therapies for autoimmune diseases. The algorithm ...

SALT LAKE CITY — It's long been a goal in medicine to better understand the long trajectories of diseases in hopes of engaging in better prevention and early intervention. "Collectively, they're ...

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

A new machine learning model developed by The George Institute for Global Health can successfully predict heart disease risk in women by analyzing mammograms. The findings were published today in ...

Acute hepatic porphyria (AHP) is a rare genetic disease with symptoms that overlap with many other conditions, making it extremely challenging to diagnose. Its symptoms mostly affect women with severe ...

Researchers in Europe have unveiled a new artificial intelligence model that can forecast a person’s risk of developing over 1,000 diseases more than a decade in advance. The generative AI tool, ...

In a recent study published in the journal Proceedings of the National Academy of Sciences, a team of scientists from China developed a multimodal method using an image Transformer system that uses ...

In this video, Craig Gordon, MD, nephrologist at Tufts Medical Center and associate professor of medicine at Tufts University School of Medicine, discusses an algorithm to determine approaches to ...

A risk stratification algorithm may be able to predict which patients with advanced chronic liver disease are at risk of developing hepatocellular carcinoma (HCC), according to a large-scale ...