In A Nutshell Researchers used a machine learning model to rank all 50 U.S. states and Washington, D.C. by socioeconomic vulnerability to flu-like illness, finding wide regional variation in risk.

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

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.

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

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 ...

Type 2 diabetes (T2D) and obesity are metabolic conditions with many causes, including overlapping and distinct genetic features. A polygenic risk score (PRS) can capture multiple genetic risk factors ...

Bitcoin price is down again, but our machine learning algorithm suggests that the ongoing decline is short-term.