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 ...

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

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.

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

The percentage of teachers who are using artificial intelligence-driven tools in their classrooms nearly doubled between 2023 and 2025, according to data from the EdWeek Research Center. In 2023, a ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

A secret weapon that can lower cholesterol has been flying under the radar for more than 20 years. It’s called the portfolio diet—and it has been gaining followers, thanks to rising interest in ...

Reintroduction of the Cyclin A2 gene enables adult human cardiomyocytes to divide, producing functional daughter cells and promoting heart repair. The therapy uses a replication-deficient adenoviral ...

Just as saving for retirement starts early, so should protecting your heart. A new Northwestern Medicine study introduces a first-of-its-kind online calculator that uses percentiles to help younger ...

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 these diseases ...