Abstract: Heart failure is a complex and debilitating condition that affects millions of people worldwide. Accurate prediction of heart failure progression is crucial for timely interventions and ...

Chronic kidney disease (CKD) and heart failure (HF) share pathophysiological mechanisms, rendering HF one of the most burdensome cardiovascular complication in CKD. Current HF prediction models, ...

## Purpose: Predicts server failure likelihood in the next 24 hours using Azure OpenAI's gpt-4o-mini model. ## Prerequisites: Python 3.7+, openai, pandas, numpy; Azure OpenAI resource with gpt-4o-mini ...

Heart failure is one of the most serious long‑term heart conditions affecting people around the world. It happens when the heart muscle becomes weak or damaged and cannot pump blood as well as it ...

Atrial fibrillation (AF) is a common arrhythmia associated with increased risk of stroke, heart failure and mortality. Advances in genomic research have revealed a complex genetic architecture ...

The risk of serious or fatal heart disease can be predicted with artificial intelligence (AI) analysis of mammograms, according to research published in the European Heart Journal. The study shows ...

Oral semaglutide led to significant reductions in the risk for heart failure and major adverse cardiac events (MACEs) among patients with type 2 diabetes (T2D) with a history of heart failure, a ...

Heart failure is a serious long-term illness that affects millions of older adults around the world. It happens when the heart becomes too weak to pump blood effectively, making it hard for the body ...

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may underestimate risk in elderly East Asian patients. Researchers from Japan used ...

More than 99% of people who suffer a heart attack, stroke, or heart failure have at least one risk factor beforehand—yet many have no idea until it’s too late. That’s part of the reason why heart ...