This is the largest real-world analysis of mycophenolic acid in pediatric lupus nephritis to date, providing a decision-support system to help balance efficacy and safety.

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

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.

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.

Domain adaptation may be a novel creative solution to predict infection risk in patients with chronic lymphocytic leukemia ...

WAN CHAI, WAN CHAI, HONG KONG, January 23, 2026 /EINPresswire.com/ — Even with the advancement of Automated Insulin Delivery (AID) technologies, diabetes management ...

Nottingham Forest stuttered at home against Liverpool at the weekend and lost a lot of the momentum that they gained with their win over Fenerbahce last week. However, given the one-sided nature of ...