Multimodal survival analysis of glioblastoma using whole-slide histopathology, gene expression, clinical variables and language-model-derived mutation features.

Abstract excerpt

Glioblastoma (GBM) is a highly aggressive brain tumor with poor prognosis, motivating the development of more accurate survival prediction models that can integrate complementary clinical and molecular information. However, existing multimodal survival frameworks often rely on simplified genomic summaries, underuse sequence-context information from mutations, or discard global spatial structure in whole-slide...

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