Yuxi Zhou

NexuST is a hierarchical foundation model for spatial transcriptomics that improves cell-type annotation and spatial prediction by integrating gene-level and cell-level modeling.

This study uses single-cell RNA sequencing and spatial profiling to show fibroblasts influence neutrophil inflammation in UC, with 5β1 targeting reducing inflammatory responses.

This study designs cell type-specific AAV promoters using deep learning, outperforming rational approaches in mouse retinal cells and showing promise for human applications.