SpatialFusion: A lightweight multimodal foundation model for pathway-informed spatial niche mapping

Abstract excerpt

Foundation models enable knowledge transfer across data modalities and tasks, yet foundation models for spatial biology remain in their early stages, largely centered on encoding single-cell representations in spatial context without fully integrating transcriptomic and morphological information to delineate functional niches. Here we introduce SpatialFusion, a lightweight multimodal foundation model that identifi...

Topics

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• Biomarkers, Tumor
• Gene Expression Profiling
• Machine Learning
• Neoplasms
• Phenotype
• Single-cell and spatial transcriptomics
• Transcriptome
• Tumor Microenvironment

Identifiers and source

Literature Corpus work

00b1ac4c-8229-5b26-a9b6-263926819343

DOI

10.64898/2026.03.16.712056