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Article

HOPE: Interpretable Histology Analysis with Spatial Omics-Derived Signatures for Precision Oncology

2026-06-06

Abstract excerpt

Hematoxylin and eosin (H&E) stained images are fundamental clinical tools for disease assessment. However, even with advanced computational models, their prognostic capabilities remain limited. Spatial omics characterizes tumor microenvironments (TME) in detail yet remains clinically inaccessible due to cost and complexity. In this study, we present HOPE, a lightweight framework that learns TME signatures from pai...

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Literature Corpus work
acd1e40d-8080-51da-b3f8-8291e73e1c99
DOI
10.64898/2026.06.03.729847
Open publication

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HOPE: Interpretable Histology Analysis with Spatial Omics-Derived Signatures for Precision OncologyDOI 10.64898/2026.06.03.729847
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