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

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 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 ...

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

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

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

AI cyberattacks are rapidly transforming the cybersecurity landscape, enabling attackers to automate and scale operations with unprecedented speed. Through machine learning hacking, adversaries can ...

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...