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 ...

Study validates a new risk model that allows for more accurate risk estimates, encourages shared decision-making, and helps ...

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 ...

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

Conclusions: Generative AI use for health information is currently driven by early adopters—those who find it useful, easy to integrate, enjoyable, and have the necessary skills and infrastructure to ...

Abstract: Predicting the onset of cardiovascular disease at an early stage using machine learning algorithms is the primary goal of this research. Improved model performance, reduced overfitting, ...

Although micro‐ and nanoplastics are an emerging risk factor for the development of cardiovascular diseases, the association of marine microplastic levels (MMLs) with the burden of cardiometabolic ...

Biofluid biomarkers for the diagnosis of neurodegenerative diseases: current status ...

Abstract: Artificial intelligence (AI) predictions are widely used to address challenges in the heart health sector, such as providing clinical decision support. Early detection of valvular heart ...