This translational review examines translation of spatial-omics findings into reproducible biomarker evidence. The organizing question is which analytical and validation steps separate spatial association from a clinically useful biomarker. Ten related scholarly sources are synthesized through a decision-centered framework spanning problem definition, mechanism, measurement, evaluation, implementation, and governance. The review does not invent experiments, pooled estimates, or unreported quantitative results. It instead evaluates the strength and transferability of the available evidence, with particular attention to treating visually compelling spatial patterns as independently validated clinical evidence. The resulting framework links technical or empirical performance to explicit use conditions and identifies tests that should precede wider adoption in precision-medicine biomarker development.
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- Journal
- Clinical Translation & Population Health
- Volume
- 1 (2026)
- Article number
- ct20260002
- License
- CC BY 4.0
