A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

South Korea's NTS develops AI-powered system to monitor crypto transactions and detect tax evasion ahead of January 2027 ...

What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Machine-learning models accurately pinpointed differences in immune responses in healthy controls and those living with HIV.

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...

Scientists develop a blood test that detects Alzheimer’s by measuring protein structural changes rather than protein quantity.

Kochi, Mar 12 (PTI) Ultra-sensitive graphene sensors capable of detecting disease biomarkers at extremely low concentrations could soon enable rapid medical tests, scientists said on the final day of ...

This is the largest real-world analysis of mycophenolic acid in pediatric lupus nephritis to date, providing a decision-support system to help balance efficacy and safety.