This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

By Vijay Kumar Malesu Emerging evidence suggests that microbial metabolites not only regulate endogenous GLP-1 secretion but may also influence therapeutic response to GLP-1 receptor agonists, raising ...

Market Overview and Growth OutlookThe global mHealth monitoring and diagnostic medical devices market is poised for strong expansion, projected to register a robust compound annual growth rate of ...

Objectives To evaluate whether type 2 diabetes mellitus (T2DM) presence and severity are associated with differences in global and domain-specific cognitive function among US adults, using ...

As AI begins to transform education, work, and social life, we need to focus on developing and expanding capacities essential ...

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...

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.

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...