William S. Bowen

This study identifies altered thick ascending limb cells with UMOD retention as drivers of CKD using spatial proteomics and shows reducing UMOD retention attenuates CKD development.

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

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.

This study maps the spatial transcriptomic landscape of the human kidney papilla in stone disease, identifying immune injury and matrix remodeling as key features.