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.

WPI researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict ...

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.

LCGC International’s interview series on the evolving role of artificial intelligence (AI)/machine learning (ML) in separation science continues with Boudewijn Hollebrands from Unilever Foods R&D, ...

Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...

Santa Clara, CA / Syndication Cloud / March 3, 2026 / Interview Kickstart The rapid acceleration of AI adoption across ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...