Area of research
Nephrology · Artificial Intelligence
Research interest
Research interests include Renal Diseases and Glomerulopathies, Chronic Kidney Disease and Diabetes, AI in cancer detection, and Renal and related cancers.
Computational Characterization of Lymphocyte Topology on Whole Slide Images of Glomerular Diseases.
Authors' Reply: Computational Lymphocyte Topology: A Roadmap to Mechanism and Clinical Translation?
Shared multicellular injury programs of acute and chronic kidney disease enable mechanistic patient stratification
Clinical Relevance of Computational Pathology Analysis of Interplay between Kidney Microvasculature and Interstitial Microenvironment.
Cellular and Spatial Drivers of Unresolved Injury and Functional Decline in the Human Kidney
FUSION: a web-based application for in-depth exploration of multi-omics data with brightfield histology.
Hidden in the Absence: Clinicopathologic Insights on Kidney Diseases Associated With Selective IgA Deficiency.
Novel Scalar-on-matrix Regression for Unbalanced Feature Matrices.
Individualized treatment effects of corticosteroids in IgA nephropathy
Clinical Relevance of Computationally Derived Attributes of Arteries and Arterioles in focal segmental glomerulosclerosis and minimal change disease
PatchSorter: a high throughput deep learning digital pathology tool for object labeling.
Ontology-based modeling, integration, and analysis of heterogeneous clinical, pathological, and molecular kidney data for precision medicine
Characterization of arteriosclerosis based on computer-aided measurements of intra-arterial thickness.
An atlas of healthy and injured cell states and niches in the human kidney
Inaxaplin for Proteinuric Kidney Disease in Persons with Two <i>APOL1</i> Variants
Clinical Relevance of Computationally Derived Attributes of Peritubular Capillaries from Kidney Biopsies
Clinical Relevance of Computationally Derived Attributes of Peritubular Capillaries from Kidney Biopsies.
Age-Based Versus Young-Adult Thresholds for Nephrosclerosis on Kidney Biopsy and Prognostic Implications for CKD.
Tubular and Glomerular Size by Cortex Depth as Predictor of Progressive CKD after Radical Nephrectomy for Tumor.
Banff Digital Pathology Working Group: Image Bank, Artificial Intelligence Algorithm, and Challenge Trial Developments
A reference tissue atlas for the human kidney
A reference tissue atlas for the human kidney.
Precision nephrology identified tumor necrosis factor activation variability in minimal change disease and focal segmental glomerulosclerosis
A user-friendly tool for cloud-based whole slide image segmentation with examples from renal histopathology
Kidney Biopsy Features Most Predictive of Clinical Outcomes in the Spectrum of Minimal Change Disease and Focal Segmental Glomerulosclerosis.
A user-friendly tool for cloud-based whole slide image segmentation with examples from renal histopathology.
Rationale and design of the Kidney Precision Medicine Project
Compounds targeting OSBPL7 increase ABCA1-dependent cholesterol efflux preserving kidney function in two models of kidney disease
Compounds targeting OSBPL7 increase ABCA1-dependent cholesterol efflux preserving kidney function in two models of kidney disease.
Deep-Learning–Driven Quantification of Interstitial Fibrosis in Digitized Kidney Biopsies