Pinaki Sarder

DigitAb predicts cell types from H&E-stained slides using deep learning, achieving high accuracy without specialized assays or immunostains.

The paper develops an AI-based method to generate spatial Banff t- and g-scores using spatial transcriptomics and histology, showing full concordance in severe rejection cases.

This study identifies a MEF2C transcription factor network that regulates endothelial cell proliferation in diabetic kidney disease and shows that SGLT2i treatment can reverse its dysregulation.

The paper presents a multi-modal atlas of human kidney disease, identifying cellular and spatial mechanisms of injury resolution or failure and linking them to clinical outcomes.

FUSION is a web-based tool that integrates spatial -omics data with histology to analyze tissue states and identify spatial linkages between molecular and histopathologic features.

The paper uses ontologies to integrate clinical, pathological, and molecular kidney data for precision medicine analysis.

ComPRePS improves renal pathology analysis by automating WSI processing and AI-assisted interpretation, enhancing precision and interobserver agreement in key lesion assessments.