A novel spatial framework to validate arsenic exposure gene expression profiling in bladder cancer using multiplex FISH and AI-powered digital pathology.

Sci Rep · 2025 · PMC12575843 · PMID 41168438

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highly significantno p-value reported

This suggests a highly significant difference between groups, implying that the model expression value is strongly associated with tumor grade.

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