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

Abstract excerpt

<title>Abstract</title> <p>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...

Topics

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• Biomarkers, Tumor
• Gene Expression
• Gene Expression Profiling
• Image Processing, Computer-Assisted
• Neoplasms
• Neural Networks, Computer
• Phenotype
• Single-cell and spatial transcriptomics

Identifiers and source

Literature Corpus work

2edd8895-3f55-5fb3-be33-35b6b9b0a7c3

DOI

10.21203/rs.3.rs-6941589/v1