Article

Interpreting and Validating a Deep Learning Model Predictive of Spatial Morphologic-Molecular Patterns in Lung Adenocarcinoma, Using Ground Truth Immunohistochemistry Images

2026-04-23

Abstract excerpt

Lung adenocarcinoma (LUAD), the most common subtype of non–small cell lung cancer, exhibits profound histological and molecular heterogeneity. While genomic profiling has identified key oncogenic drivers and immune signatures, its use is limited by cost, technical demands and tissue availability. In addition, spatial transcriptomics provides spatially resolved molecular insights but remains challenging and time-co...

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Literature Corpus work: 60f01e87-44e9-5e22-bca5-d00b64636afd
DOI: 10.64898/2026.04.20.719723

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