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

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 ...

Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

Heart failure (HF) remains a pressing health concern, with rising prevalence globally. Subjectivity and ambiguity in the ...

UC Berkeley researchers trained AI to detect hidden warning signs of sudden cardiac death in routine ECG tests, according to ...

Heart disease is the leading cause of death in the United States, per the Centers for Disease Control and Prevention (CDC). But maintaining a healthy lifestyle, especially one that includes filling ...

OCHIN researchers describe project designed to improve risk estimates by combining clinical information with patients’ lived ...