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

UC Berkeley School of Public Health researchers are collaborating with the FDA and industry to make drug clinical trials faster and better.

The new offering gives firms scrubbed, mapped municipal data to support AI-driven credit analysis, trading, and ...

By applying machine learning to vast TESS datasets, researchers have built one of the most precise catalogs of nearby exoplanets to date.

One of the research lines of the group of the EHU-University of the Basque Country is seeking solutions to generate districts or neighborhoods whose annual net energy consumption is close to zero.

Vendors are racing to provide visibility, governance and real‑time control so organizations can deploy autonomous systems without losing oversight.

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 ...

In 2019, Epic—the company behind the MyChart health care software used by over 190 million patients—developed an exciting new feature: ...

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

There are plenty of programs based on algorithms that can appear like AI, but in reality, have nothing to do with it.

The field of cancer research has increasingly focused on the inflammatory response in colorectal and ovarian cancers due to its significant role in tumor progression. Colorectal cancer (CRC), the ...

There are three technical enablers “that repeatedly separate successful [AI] deployments from stalled pilots: trustworthy data pipelines, fit-for-purpose model selection, and lifestyle governance,” ...