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 ...

Classifying ancient pottery has always depended on the trained judgment of an archaeologist. Identifying the subtle ...

Now, prediction markets are rejiggering the odds by requiring forecasters to back their convictions with cash. Participants buy and sell contracts tied to future events, with the resulting prices ...

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

Polymarket, Kalshi and other betting platforms appear to be entering a new phase marked by both potential expansion and ...

As sports betting continues to grow in the U.S., one large aspect of the industry could take a hit under a new bipartisan ...

Dina Hassan reports on a new project that will consolidate the measurement of the threats of climate change throughout the ...

Published in the journal Fire, the study titled “Artificial Intelligence for Geospatial Decision Support in Rural Wildfire Management: A Configurational Mapping Review” provides a systematic analysis ...

Yet, traditional ITSM frameworks often rely heavily on manual processes that create inefficiencies, accuracy issues, and slow resolution times. As organizations scale and user demands grow more ...