Integration of AI with spatial omics advances biomarker research and diagnostics, suggesting improved clinical outcomes.
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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Nic G. Reitsam (2026) studied this question.
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