Spatial omics and AI for clinically actionable cancer biomarkers.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 41955187.
- Also identified by DOI 10.1371/journal.pmed.1005049 and PMC identifier 13065064.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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.
Medical subject headings
- Biomarkers, Tumor
- Artificial Intelligence
- Neoplasms
- Genomics