132-OmiCLIP & Loki: Foundation Model for Spatial Analysis
This paper introduce a new visual-omics foundation model called OmiCLIP, designed to integrate histopathology images and spatial transcriptomics data for computational biology. OmiCLIP was trained on a curated dataset, ST-bank, which consists of over two million paired tissue images and transcriptomic data across 32 organs, by converting gene expression into "sentences" for language model processing. Building on OmiCLIP, the researchers developed the Loki platform, an infrastructure that offers five key functions: tissue alignment, annotation using bulk RNA sequencing or marker genes…
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