In A Nutshell Researchers used a machine learning model to rank all 50 U.S. states and Washington, D.C. by socioeconomic ...

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...

When combined with clinical markers, smartwatch data was able to help detect insulin resistance with nearly 90 percent ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...

Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...

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