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Agent SPI-WSI: In context learning for computationally spatial pathway inferring on whole slide histopathology images conditioned on bulk RNA sequencing using pathologist in the loop

2025-10-17

Abstract excerpt

Bulk RNA sequencing, while cost-effective compared to high-resolution spatial transcriptomics, averages gene expression across heterogeneous cell populations and thus lacks spatial context. To address this limitation, we introduce a structured, human–guided, multi-stage computational AI agent SPI-WSI, that iteratively generates, evaluates, and refines biologically informative natural-language prompts, thereby loca...

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Literature Corpus work
ddb6c0a1-c536-5af5-9a3f-d0dfea355911
DOI
10.1101/2025.10.16.682972
Open publication

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Agent SPI-WSI: In context learning for computationally spatial pathway inferring on whole slide histopathology images conditioned on bulk RNA sequencing using pathologist in the loopDOI 10.1101/2025.10.16.682972
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