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X-SPATIO: An Explanatory Deep Learning Pipeline for the Prediction and Visualization of Spatially Resolved Biomarker Expression in Triple-Negative Breast Cancer

2026-02-11

Abstract excerpt

<h4>ABSTRACT</h4> Histopathologic evaluation remains central to cancer diagnosis and treatment planning, yet the molecular programs underlying distinct tissue morphologies are not routinely accessible in clinical workflows. Spatial transcriptomic/proteomic platforms provide region-specific molecular measurements but are limited by cost, throughput, and scalability. Most computational pathology models rely on eith...

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Literature Corpus work
313bee23-480c-59a2-812f-cb0c0a074a17
DOI
10.64898/2026.02.09.704587
Open publication

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X-SPATIO: An Explanatory Deep Learning Pipeline for the Prediction and Visualization of Spatially Resolved Biomarker Expression in Triple-Negative Breast CancerDOI 10.64898/2026.02.09.704587
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