Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Adverse neighborhood conditions in early adulthood may raise the risk of early cardiovascular disease decades later.

Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...

Most Americans eat too much fat and too many calories. Along with a lack of exercise, this has led to an epidemic of obesity and diabetes. It's also contributed to keeping heart disease as the leading ...

Abstract: The use of imaging and genetic data for biomarker detection and disease diagnosis can deepen the understanding of disease pathogenesis and assist in clinical diagnosis. However, current ...

Abstract: Heart disease remains a leading cause of mortality worldwide, necessitating early and accurate detection to improve patient outcomes. This paper presents a Heart Disease Prediction System ...

We conducted a systematic review and meta‐analysis of studies examining the association of viral infections with the risk of cardiovascular disease, including coronary heart disease (CHD) and stroke.

An investigator at the Icahn School of Medicine at Mount Sinai has received international recognition for innovative imaging research that may help physicians identify patients at increased risk of ...

Mammograms, which are key to detecting breast cancer, could be paired with artificial intelligence to predict heart disease risk, too. Researchers have developed an AI model that scans mammograms to ...