A proposed machine learning framework for metabolic dysfunction-associated steatotic liver disease may improve personalized risk prediction.

Healthcare analytics leader Sachin Girdhar outlines why health systems must transition from predictive AI dashboards to closed-loop decision intelligence.

As artificial intelligence is further integrated into clinical workflows, new projects aim to optimize hospital predictive ...

Machine-learning models developed by University of Miami researchers used clinical, biomarker and imaging data to identify ...

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...

Sam's Club Connect introduced "Predictive Precision Targeting" capabilities on Thursday, expanding its measurement offering.

Researchers at The University of Manchester, Shandong Jiaotong University and Harbin Engineering University have developed a ...

ML can build credit models faster with more data than the scorecards that have defined consumer lending for decades. Few ...

​In high-growth digital markets, peer-reviewed awards and rigorous technical certifications serve as the ultimate benchmark distinguishing technical practitioners from true industry innovators. For ...

The Think Family Database holds records on close to half a million people who live in the city of Bristol, England. For many years, few of them knew anything about it. Launched in 2016 by the Bristol ...