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at the systems level. By integrating groundbreaking multiomic methods at the single-cell level with advanced experimental models, such as human organoids, the laboratory maps the molecular and cellular mechanisms
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immunogenicity with DTU’s strengths in immunoinformatics and machine learning, to address this challenge. Our work will provide novel insights into the current T-cell activation assays and datasets, and enable
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research agents for bioinformatics and bioengineering (Bock Lab ). Building on our CellWhisperer method for chat-based exploration of single-cell data (Schaefer 2025 Nature Biotechnology), we develop agentic
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