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 ...
UC Berkeley researchers say a new AI model found a hidden ECG signal that could help doctors identify more people at risk ...
OCHIN researchers describe project designed to improve risk estimates by combining clinical information with patients’ lived ...
Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
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 ...
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 ...
A single infusion of an experimental gene-editing drug seemed to reduce LDL long-term in a small trial. The results may point to something “curative,” one expert said. By Gina Kolata In a small, ...
A tool developed by the American Heart Association (AHA), proven to accurately predict heart disease risk for Americans, can be applied to the global population, a new study led by NYU Langone Health ...
Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, extending the prior DAAE framework beyond static baseline risk. Registry ...
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