A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

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.

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

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

Type 2 diabetes (T2D) and obesity are metabolic conditions with many causes, including overlapping and distinct genetic features.

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...