Background The National Heart Failure Audit gathers data on patients coded at discharge (or death) as having heart failure as ...

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...

This population-based study shows that shared and pattern-specific blood biomarkers reflect biological vulnerability ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Objective Anxiety affects up to one-third of adults with asthma and is linked to poorer disease outcomes and reduced quality ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Background Ebstein’s anomaly (EA) exhibits significant anatomical and clinical heterogeneity, warranting a systematic ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in ...

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

Association between Modified Cardiometabolic Index and Incident Cardiovascular Disease in Middle-Aged and Elderly Chinese ...

This study re-examines the non-linear relationship between inflation and economic growth in Southern African Development ...