Adults with congenital heart disease (CHD) have a persistently high risk for cardiac reoperation, according to a new study.

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Current models of mortality risk after heart failure (HF) rely primarily on cardiac-specific clinical variables and may ...

A wireless sensor the size of a paperclip, Abbott's CardioMEMS HF, can be used routinely by the NHS to monitor patients with chronic heart failure (CHF) in their own homes, according to NICE. The ...

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 ...

Juntendo University researchers have trained a machine learning algorithm to use clinical information and physical function ...

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.

February is national American Heart Month and the American Heart Association is spotlighting cardiovascular disease and the need for more lifesavers. This year, the association’s message is anyone can ...

Changes to land use can directly heighten the risk of diseases spreading from animals to humans, new University of Stirling–led research has shown. The study, led by Dr. Adam Fell of the University's ...