Satoru Kudose

The paper defines the chromatin landscape of healthy and injured kidney cells using multi-omics data, identifying regulatory elements and transcription factor networks involved in injury response.

The paper creates a high-resolution cellular atlas of healthy and injured kidney cell states and niches using single-cell and spatial technologies, identifying molecular signatures and pathways related to kidney injury.

This paper develops a deep learning model to classify glomeruli as normal or sclerotic in frozen kidney biopsy slides, achieving performance comparable to expert pathologists with limited training data.