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New phenomapping tool and clinical score could lead to personalized strategies for patients hospitalized with ADHF

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).

While Clalit’s relative membership has dropped in the last three decades, management is doing its utmost to become the country’s first innovation-driven HMO.