Award
National Heart, Lung, and Blood Institute 5R01HL159376-05
Predicting Progression of Chronic Kidney Disease in Sickle Cell Anemia Using Machine Learning Models (PREMIER)
Recipient
University of Tennessee Health Science Center
Award Amount
$610,088.00
Ceiling
$610,088.00
Awarded
August 19, 2025
Identifier
5R01HL159376-05
The study develops a machine learning-based predictive model for chronic kidney disease progression in adults with sickle cell disease and evaluates the kidney-protective effects of voxelotor.
Description
This project aims to utilize machine learning models to predict CKD progression in sickle cell anemia patients and assess the therapeutic potential of voxelotor in slowing disease progression.