Article

Cluster-guided multimodal deep learning improves gastric cancer prognosis prediction and uncovers interpretable immune phenotypes

2026-05-15

Abstract excerpt

<title>Abstract</title> <p>Recent advances in multimodal deep learning have significantly improved tumor survival analysis. However, gastric cancer exhibits high molecular heterogeneity, and conventional universal models fail to capture subtype-specific prognostic signals. Here, we show that mACE, a multimodal attention clustering expert framework, stratifies patients into biologically homogeneous immune subtypes...

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Literature Corpus work: 78dc8441-2cc7-52a9-8c92-bd6bf7d182d8
DOI: 10.21203/rs.3.rs-9575924/v1

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