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THT 2024 Late-Breaking Clinical Science Announced

The complete list of late-breaking clinical science to be presented at THT 2024: Technology and Heart Failure Therapeutics is now available online. An internat

THT 2024 Late-Breaking Clinical Science Announced

The complete list of late-breaking clinical science to be presented at THT 2024: Technology and Heart Failure Therapeutics is now available online. An internat

Machine Learning Informs a New Tool to Guide Treatment for Acute Decompensated Heart Failure

Machine learning could personalize diuretic treatment for patients with acute decompensated heart failure

A recent study co-authored by Dr. Matthew Segar, a third-year cardiovascular disease fellow at The Texas Heart Institute and led by his research and residency mentor, University of Texas Southwestern Medical Center's Dr. Ambarish Pandey, utilized a machine learning-based approach to identify, understand, and predict diuretic responsiveness in patients with acute decompensated heart failure (ADHF).

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