Please provide your email address to receive an email when new articles are posted on . Familial hypercholesterolemia is underdiagnosed and undertreated. A novel machine learning algorithm identified ...
Drosophila - commonly known as fruit flies - are a valuable model for human heart pathophysiology, including cardiac aging and cardiomyopathy. However, a choke point in evaluating fruit fly hearts is ...
Girish Melkani and Team Leverage Machine Learning to Uncover Insights into Cardiac Aging and Disease
Melkani's study, “Automated assessment of cardiac dynamics in aging and dilated cardiomyopathy Drosophila models using machine learning,” was published in Communications Biology (A Nature Portfolio ...
A study found a machine learning model more accurately predicted major adverse cardiac events, such as heart attacks, than ...
Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...
SEISMIC-HF I enrolled a large, demographically diverse population across 15 sites Results are an important step toward enabling widespread, non-invasive hemodynamic-guided heart failure management ...
Cardiology training today exists in a paradox. As the specialty becomes more complex, particularly in procedural domains, the time and resources available to train new cardiologists have dwindled.
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