A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

Researchers confirmed a four-biomarker model is more informative at younger vs older ages, with slight sex differences.

Researchers have trained an artificial intelligence model to extract warning signs of advanced heart failure from routine ...

A risk model predicts the risk for heart failure in patients with atherosclerotic cardiovascular disease and flags a notable ...

A new big data-based predictive model developed in Hong Kong enables more dynamic monitoring of six common cardiovascular diseases by capturing near-real-time biological changes.

A team of researchers believes that pythons may contain clues to help treat a range of human ailments — from heart disease to muscle atrophy, and more.

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to patient outcomes using widely available bulk RNA sequencing data.

Abstract: One of the body’s essential organs is the heart. The death rate from heart or cardiovascular disease is on the rise. According to a review of the research, the best way to reduce the risk of ...

The risk of potentially deadly heart disease can be detected from routine mammograms using AI technology, a new study demonstrated. By analyzing the build-up of calcium deposits in the arteries of the ...

Brian is a New York–based science and health journalist. His work has been published by The Atlantic, The Paris Review, The New York Times For Kids, CBS News, The TODAY Show, Barron's PENTA, Engadget, ...

Abstract: Heart diseases have become the leading cause of death globally, highlighting the urgent need for robust diagnostic and treatment methods. This study leverages the UCI heart disease dataset ...