Abstract: This project focuses on predicting heart, lung, and brain diseases using advanced machine learning (ML) and deep learning (DL) techniques. The system analyzes complex patterns from diverse ...

Stressor‐associated atrial fibrillation (AF) refers to new‐onset AF that occurs with a reversible, acute stressor. Identifying individuals at highest risk for AF recurrence is essential to guide ...

For some college basketball fans, filling out an NCAA Tournament bracket can be a gradual process. Initial picks are made on Selection Sunday, and then they're adjusted as the week progresses, with ...

Domain-adapted models trained on CLL plus lymphoma data outperformed CLL-only models and CLL-IPI, with best random forest Matthews correlation coefficient 0.342 versus 0.290 and 0.166. Severe ...

The AI-Enabled Clinician is a podcast series hosted by the Innovation Program exploring how innovations and research are redefining cardiovascular care delivery and patient outcomes. In this episode, ...

Acute kidney injury after cardiac surgery (CSA-AKI) is a common complication after cardiac surgery and an independent predictor of morbidity and mortality. Since evidence-based care is based on risk ...

This study found a practical, minimally invasive tool to accurately assess the risk of cardiovascular complications in chronic kidney disease. Tiny RNA molecules carried by extracellular vesicles in ...

ABSTRACT: Cardiovascular diseases (CVDs) are the leading cause of death worldwide, accounting for millions of deaths each year according to the World Health Organization (WHO). Early detection of ...

Cardiovascular Diseases (CVD) are the leading cause of death globally. Non-invasive, cost-effective imaging techniques play a crucial role in early detection and prevention of CVD. Optical Coherence ...