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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).
United States University Of Texas Southwestern Medical Center Samuela Levine Matthew Segar Ambarish Pandey Josephg Rogers

Renowned Cardiologist and Nobel Peace Prize Winner Bernard Lown Dies at 99 | News

Bernard Lown, whose life’s work spanned from pivotal breakthroughs in medicine to humanitarian efforts against nuclear war that won him the 1985 Nobel Peace Prize, died at age 99. Lown died Feb. 16 of complications from congestive heart failure, according to his son Fredric Lown, after a decades-long academic career serving as a professor of cardiology at the Harvard School of Public Health and a physician at Brigham and Women’s Hospital. Lown is survived by his three children, Fredri...
United States University Of Maine Yevgeni Chazov Fredric Lown Marshalla Wolf Goodarz Danaei

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