spEMO: Leveraging Multi-Modal Foundation Models for Analyzing Spatial Multi-Omic and Histopathology Data

Abstract excerpt

Recent advances in pathology foundation models (PFMs), which are pretrained on large-scale histopathological images, have significantly accelerated progress in disease-centered applications. In parallel, spatial multi-omic technologies collect gene and protein expression levels at high spatial resolution, offering rich understanding of tissue context. However, current models fall short in effectively integrating t...

Topics

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• Biomarkers, Tumor
• Gene Expression Profiling
• Image Processing, Computer-Assisted
• Machine Learning
• Neoplasms
• Phenotype
• Single-cell and spatial transcriptomics
• Transcriptome

Identifiers and source

Literature Corpus work

9d390e22-3d27-540a-8548-8ef8706f8ed4

DOI

10.1101/2025.01.13.632818