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Grant Furthers Study of Machine Learning to Predict Kidney Decline


Scientists Kenneth Ataga, MD, and Santosh Saraf, MD, have received a $3.2 million grant to continue investigating the potential of machine learning as a method to help identify sickle cell disease (SCD) patients at high risk of developing progressive kidney disease.

The grant awarded by the National Heart, Lung and Blood Institute, part of the National Institutes of Health (NIH), will fund the research project  “Predicting Progression of Chronic Kidney Disease in Sickle Cell Anemia Using Machine Learning Models (PREMIER)” for five years.

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