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.

Overview: Machine learning helps businesses target the right customers, boosting sales and cutting wasted ad spend.It enables real-time campaign optimization, p ...

The U.S.-Israel military campaign against Iran is functioning as the first large-scale proving ground for artificial intelligence in active combat operations, with AI systems shaping everything from ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

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

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.

Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test ...

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or ...

Software is no longer confined to smartphones and office desktops. It powers vehicles that navigate busy streets, medical ...

If we allow algorithms to inherit yesterday's incentives — maximizing return, minimizing empathy — then tomorrow's system ...