Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Tiny RNA molecules carried by extracellular vesicles in the bloodstream can accurately predict kidney function decline and cardiovascular risk in chronic kidney disease (CKD), as reported by ...

A blood test measuring inflammation is now being used by cardiologists to predict heart problems, alongside traditional cholesterol tests.

After a major heart blockage, the clock starts ticking. Patients are likely to have more cardiac problems down the road. Doctors use statistics to predict future risk. But a new study hints AI may do ...

BACKGROUND: Forecasts for the future prevalence of cardiovascular disease and stroke are crucial to guide efforts to improve health outcomes across the life course for women. METHODS: Using historical ...

Discover how AI is transforming nutritional science by turning complex diet and omics data into predictive tools that reshape chronic disease prevention and personalized care.

You can approach heart rate training in a few ways, and each method has its own set of variables. It can seem like a complicated process. That’s why whenever heart rate training entered the chat, I ...

AI-enabled coronary CT angiography reveals total plaque burden beyond calcium scores, improving risk prediction and personalizing cardiovascular prevention.

Cervical spondylotic myelopathy (CSM) refers to spinal cord compression from arthritis in the neck and is the leading cause of spinal cord dysfunction in older adults. CSM is a chronic, progressive ...