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Spatial transcriptomics is transforming cancer research by enabling detailed analysis of tumor complexity while preserving natural cell interactions. This innovative technique allows researchers to visualize gene expression patterns within the tumor microenvironment, uncovering interactions between different cell types and surrounding structures such as blood vessels and immune cells. By integrating spatial transcriptomics with advanced computational tools, scientists can identify biomarkers, map signaling pathways, and understand how these factors influence treatment response and resistance. This approach holds great promise for advancing personalized medicine in oncology, facilitating the development of targeted therapies tailored to individual patients based on their unique tumor biology.