Virtual spatial transcriptomics from histopathology enables prognostic and therapeutic response prediction in cancer
Spatial transcriptomics reveals cellular heterogeneity, intercellular communication, and tissue organization, but its cost and limited accessibility restrict clinical use. Here, we present VISTA, a model that integrates multi-scale histological features and spatial context to infer spatial gene expression from H&E stained tissue images. Across leave one section out cross validation and…
We haven't written up this one. bioRxiv has the full story — the link below goes straight to it.
