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Spatial omics and AI for clinically actionable cancer biomarkers
Nic G Reitsam1,2,3
1Pathology, Faculty of Medicine, University of Augsburg, Augsburg, Germany.
None:
Integrating spatial omics with artificial intelligence is likely to advance biomarker research and diagnostics, with the potential to pair mechanistic insight into spatial target biology. By developing scalable, reproducible quantification in routine pathology, it can help bridge discovery, validation, and real-world clinical implementation.
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