Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

An artificial intelligence (AI) model developed by researchers at The University of Texas MD Anderson Cancer Center ...

Researchers at Mount Sinai have created an analytic tool using machine learning that they say can predict cardiovascular disease risk in millions of patients with obstructive sleep apnea, according to ...

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.

Final random-forest-based models outperformed all publicly available risk scores on internal and external test sets.

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...

A new study published in Phytopathology shows how combining drone imagery, weather data, and qPCR-based airborne spore monitoring can reveal where disease is present and what the pathogen is likely to ...

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response to ...

Doctors at Jaslok Hospital in Mumbai are creating an AI-based tool that aims to predict freezing of gait in Parkinson’s ...

This review examines how high-throughput proteomics is expanding precision medicine by improving biomarker discovery, disease ...