Background Aortic valve calcification (AVC) is a disease process driven by inflammation and lipid infiltration, serving as a ...

Background/aims The literature surrounding the relationship between obesity and glaucoma is conflicting. The aim of this ...

Background Patients with heart failure (HF) and severe mitral regurgitation (MR) have poor outcomes. Early identification ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

AI extracted stroke phenotypes from CT and MRI report language and improved stroke mortality prediction when added to EHR data, offering a scalable path toward better risk stratification.

In a retrospective cohort study examining patterns of peripheral artery disease (PAD) diagnosis in United States primary care s ...

A new analysis of gene expression in blood samples suggests that specific biological signs of Parkinson’s disease are ...

Objectives To describe the incidence, presentation and long-term health outcomes of suicidal thoughts and behaviours (STBs) ...

Background Mechanical compression from the ascending aorta on the left atrial anterior wall (LAAW) can cause low voltage ...

Patients’ financial resources affect their enrollment in oncology clinical trials to a greater degree than traditional ...

AI agents help businesses stop guessing — linking predictions to actions so teams can move from “what might happen” to ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...