Athavale Lab

University of California, San Diego

INTERNAL MEDICINE/MEDICINE

La Jolla · United States

NIH-funded
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NIH R01 · 2024

Development and Validation of a Deep Learning system to estimate Interstitial Fibrosis from a kidney ultrasonography image

PROJECT SUMMARY Interstitial fibrosis is a common finding on kidney biopsy, and strongly predicts future decline in kidney function irrespective of the underlying etiology of kidney disease. Unfortunately, interstitial fibrosis is poorly captured by the current clinical biomarkers of kidney function (eGFR and albuminuria). Thus, interstitial fibrosis is common, holds substantial prognostic importance, and yet clinicians are blind to its presence or severity except in rare instances when kidney biopsies are performed. Concurrently, new drugs are being tested to limit kidney interstitial fibrosis, but there are no non-invasive methods to assess changes in fibrosis over time. Interstitial…

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