Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

The Next Frontier of Machine Learning: 2026 Breakthroughs and the Rise of World Models The landscape of artificial intelligence and ...

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...

Several sleep EEG patterns that contribute to brain age are known to play roles in brain health and memory. These include ...

Machine learning model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

Researchers at the University of Hawaiʻi at Mānoa are using artificial intelligence and machine learning (AI/ML) to better understand what improves ...

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people ...

Pickup defects, which we define at late pickups from a vendor or shipper site, represent a very costly challenge in ...