Warning symptoms, recurrent heart events may identify people at risk for this often-deadly event. Two studies from investigators at Cedars-Sinai Health Sciences University move the medical field ...
Researchers developed ALADYNOULLI, a Bayesian generative model that combines longitudinal health records, age, and polygenic ...
For more than 25 years, lab-on-a-chip technology has allowed researchers to model human organs and blood vessels using real ...
Artificial intelligence (AI) is helping nurses better predict health problems before they become emergencies, according to a ...
The Martin-Hopkins equation to assess low-density lipoprotein (LDL) cholesterol levels in blood samples has been used by ...
This article is authored by Dr. Ashok Punjabi is a consultant cardiologist with 40 years of non-invase and invasive ...
Her decades of work on Huntington’s disease helped lead to the creation of a genetic test for the devastating condition. Why didn’t she take it herself? Her decades of work on Huntington’s disease ...
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 ...
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 ...
UC San Diego researchers combined artificial intelligence with molecular biology to unravel how immune cells in the gut decide between inflammation and healing, a process gone awry in Crohn’s disease.
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.
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 ...
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