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UNIVERSITY OF TENNESSEE HEALTH SCI CTR

Predicting Progression of Chronic Kidney Disease in Sickle Cell Anemia Using Machine Learning Models (PREMIER)

Predicting Progression of Chronic Kidney Disease in Sickle Cell Anemia Using Machine Learning Models (PREMIER) is a funding opportunity from UNIVERSITY OF TENNESSEE HEALTH SCI CTR, up to 610088, closing August 31, 2026.

Funder
UNIVERSITY OF TENNESSEE HEALTH SCI CTR
Funding
610088
Deadline
Aug 31, 2026
(31d left)

Overview

ABSTRACT Sickle cell disease (SCD) is characterized by a vasculopathy affecting multiple end organs, with complications including chronic kidney disease (CKD). Albuminuria, an early measure of glomerular injury, is common in SCD and predicts progressive kidney disease. Kidney function decline is faster in SCD patients…

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