NIH R01 · 2024
Computational Pathology of Proteinuric Diseases
Project Summary/Abstract: Computational Pathology for Proteinuric Glomerulopathies The presently employed morphology-based classification system of focal segmental glomerulosclerosis (FSGS) and minimal change disease (MCD) does not adequately capture the clinical and molecular heterogeneity of these diseases and impairs the ability of clinicians to precisely define a patient’s disease, or predict outcome or effective intervention. The goal of this research is to advance the work of the glomerular disease research community by identifying biologically-relevant surrogates and subclasses of FSGS/MCD using computational pathology and machine learning methods. Prospective, longitudinal,…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.