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Panel Discussion: Bridging the Gap: Integrating Single-Cell and Spatial Transcriptomics for Deeper Biological Insights
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How does the integration of single-cell and spatial transcriptomics enhance our understanding of cellular function within tissue context compared to using each technology independently?
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What are the current computational and technical challenges in integrating these two data types — and what tools or methods are showing the most promise?
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Can you share examples where combining single-cell and spatial transcriptomics has led to new insights in disease mechanisms, diagnostics, or therapeutic development?
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As these technologies become more accessible, how do you see their role evolving in translational research and clinical applications?
Speakers
