Introduction Congenital malformations (CMs) are the leading cause of infant mortality. Still, the aetiology remains unknown in 70% of cases. The most accepted hypothesis is that hereditary and ...

Food insecurity identification modeling for Medicare can establish a reliable method of prioritizing members at risk of food ...

Background Stroke remains one of the most serious complications of transcatheter aortic valve implantation (TAVI). This study ...

Consistent adherence to sodium-glucose cotransporter 2 (SGLT2) inhibitors in individuals with type 2 diabetes reduces the risk of hospitalization, supporting targeted interventions to improve ...

Background Awareness has recently risen about the potential associated risks to the cardiovascular health of cannabis users. The objective was to evaluate the possible association between major ...

Random forest regression is a tree-based machine learning technique to predict a single numeric value. A random forest is a collection (ensemble) of simple regression decision trees that are trained ...

Copyright: © 2026 The Author(s). Published by Elsevier Ltd. Mental disorders and substance use disorders (SUDs) are among the leading reasons for which the medical ...

Objectives Worldwide, a number of studies have been conducted to assess the prevalence of adherence to secondary antibiotic prophylaxis and to identify the associated factors (reasons) for poor ...

Celebrate Pi Day and read all about how this number pops up across math and science on our special Pi Day page. Grab something circular, like a cup, measure the distance around the circle, and divide ...

A new physics-inspired framework could become AI’s “periodic table,” helping researchers build smarter systems by keeping only the data that truly counts. Credit: Shutterstock Artificial intelligence ...

Objectives To examine the accuracy and impact of artificial intelligence (AI) software assistance in lung cancer screening using CT. Methods A systematic review of CE-marked, AI-based software for ...