Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology Analysis

We explore the utility of leveraging spatial transcriptomics data with a contrastive crossmodal pretraining mechanism for cancer staging, lymph node metastasis prediction, survival prediction, and tissue clustering analysis.