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Virtual spatial transcriptomics from histopathology enables prognostic and therapeutic response prediction in cancer

2026-08-09

Abstract excerpt

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 independent validation, VIST...

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Literature Corpus work
eb411c6d-99dd-5196-abbb-fcf5a285f6b9
DOI
10.64898/2026.08.04.742671
Open publication

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