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Artificial intelligence tool to improve heart failure care

Artificial intelligence tool to improve heart failure care
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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).

FIGO 2021 World Congress Blog – Day Three

Metabolism and Human Reproduction  The third day of the FIGO 2021 World Congress started with a keynote lecture by David Gardner on “New Perspectives on Metabolism: Creating New Paradigms for Human Reproduction”. In his presentation, Dr Gardner invited attendees to rethink the significance of metabolic function and to consider several novel functions of metabolism which have an impact on reproduction.   

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