A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient’s risk of hepatocellular carcinoma (HCC), the most common ...

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

This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

The IAEA is inviting research organizations to join a new project that will use machine learning to better predict structural changes in polymers caused by ionizing radiation. Rad ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

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

Long-term lithium therapy remains the most effective maintenance treatment for bipolar disorder, yet it poses a significant ...

FAYETTEVILLE, GA, UNITED STATES, March 20, 2026 /EINPresswire.com/ -- Using machine learning regression models, we ...

Overview: Machine learning skills improve when concepts are applied through regular, structured, hands-on projects.Working on ...

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...