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This document reviews the integration of spatial omics and artificial intelligence (AI) in cancer research, highlighting their potential to transform understanding of the tumor microenvironment and improve therapeutic outcomes. It discusses advancements in spatial transcriptomics and proteomics, the challenges of high-dimensional data, and the necessity for AI-driven computational models to enhance data interpretation. Future research directions focus on improving spatial resolution, data harmonization, and

Author

sakshi gujral

Language

EN