Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
A blood test measuring inflammation is now being used by cardiologists to predict heart problems, alongside traditional cholesterol tests.
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AI model shows promise for predicting cardiac issues post-heart blockage
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 ...
Adults with congenital heart disease (CHD) have a persistently high risk for cardiac reoperation, according to a new study.
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 ...
Integrating male sex, RBBB, and haemoglobin and glucose levels into the HEART score improves its ability to predict significant coronary artery disease on CCTA in the emergency department setting.
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.
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 ...
Many people have no idea what their risk is—until it's too late.
A research team from Juntendo University in Japan wanted to find a better way to predict survival for older people with heart failure. The project was led by Professor Tetsuya Takahashi, Assistant ...
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