The federal Project Grant award K08DK137042 was provided by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK) under the Diabetes, Digestive, and Kidney Diseases Extramural Research program (CFDA 93.847). The $155,011 award was granted to the Cleveland Clinic Lerner College of Medicine of Case Western Reserve University to develop machine learning models that can more accurately diagnose clinically significant urinary tract obstruction in children with antenatal hydronephrosis. The project aims to derive anatomic signatures from MAG3 renal scans and kidney ultrasounds using deep learning techniques, with the goal of improving the accuracy of obstructive uropathy diagnosis compared to current clinical standards. The award has an initial period of performance from Mar 15, 2025 to Jan 31, 2030.
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