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Learn about measuring gene expression in tissues through a 10-minute lecture from the Broad Institute's Autoimmune Disease Machine Learning Challenge series. Gain technical insights into spatial transcriptomics data analysis and tissue imaging techniques essential for developing algorithms to diagnose inflammatory bowel disease (IBD). Explore methods for identifying gene markers that indicate potential cancerous regions in gut tissue, supporting early detection of colorectal cancer. Part of a comprehensive challenge program where successful algorithms will be validated through laboratory experiments at the Broad Institute, this lecture provides foundational knowledge for participants working to improve IBD diagnosis through machine learning approaches. Designed for those participating in the 2024-2025 ML challenge focused on creating more accurate diagnostic tools for the millions affected by IBD worldwide.