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Learn about groundbreaking research in glioma evolution and tumor microenvironment analysis through this 57-minute webinar presented by experts Carole Chedid and Professor Dieter Henrik Heiland. Explore how spatially resolved single-cell profiling and multi-omic analysis are revolutionizing our understanding of glioblastoma progression and treatment resistance. Discover the integration of array-based and in-situ transcriptomics across different treatment types, revealing crucial transcriptional programs and patient-specific resistance pathways. Examine the neural and immune microenvironment adaptations following immunotherapy, and understand how graph-neural networks combine spatial transcriptomics with clinical data to predict treatment responses. Gain valuable insights into precision oncology approaches and the latest developments in combining advanced machine learning with spatial and temporal profiling in clinical settings.
