Award
National Institute of Diabetes and Digestive and Kidney Diseases 4R01DK138395-04
Development and Validation of a Deep Learning system to estimate Interstitial Fibrosis from a kidney ultrasonography image
Recipient
UNIVERSITY OF CALIFORNIA, SAN DIEGO
Award Amount
$664,838.00
Ceiling
$664,838.00
Awarded
August 05, 2026
Identifier
4R01DK138395-04
This NIH-funded project aims to develop and validate a deep learning algorithm to non-invasively estimate interstitial fibrosis from kidney ultrasound images, improving clinical assessment and monitoring of kidney disease progression.
Description
The project involves developing and validating a deep learning-based system to estimate interstitial fibrosis from kidney ultrasonography images. The goal is to create a widely accessible tool for clinicians to non-invasively assess kidney fibrosis, improving prediction of kidney function decline and monitoring treatment. The project includes development, external validation, and correlation with disease progression. Funded by NIH/NIDDK under PA-20-185 funding opportunity.