Background The optimal surgical strategy for mitral valve (MV) infective endocarditis (IE) remains uncertain. Although valve ...

Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...

An Excel-based actuarial model (1 million lives; 49% eligible; 10% treated) estimated semaglutide coverage could be ...

Based on this, this study retrospectively analyzes the clinical testing data of patients with diabetic nephropathy and those with simple diabetes mellitus to investigate the predictive value of ...

Objective Children and young people (CYP) with special educational needs (SENs) have an increased risk of psychopathology and ...

Five student projects showcase how data analysis geared at answering the right questions creates opportunities and impact for ...

Objective This study aimed to determine the prevalence and contributing factors of complete measles vaccination with key attention to maternal health-seeking behaviour. Design The study used secondary ...

Objective Women of reproductive age (WRA) in low-income and middle-income countries (LMICs) bear a disproportionate burden of ...

Background Hypertrophic cardiomyopathy (HCM) is associated with an increased risk of sudden cardiac death (SCD), and ...

A UC Berkeley team used Apache Spark ML to predict airline delays at scale, training models on millions of flight records and ...

A new study develops and validates a nomogram to predict the need for continuous renal replacement therapy (CRRT) in patients ...

ABSTRACT: Amyloid-β (Aβ) pathology can be detected years before clinical Alzheimer’s disease (AD), yet forecasting who will decline—and how rapidly—remains difficult in cognitively unimpaired (CU) and ...