by Nic G. Reitsam 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. In this Editorial, Nic Reitsam discusses how integrating spatial omics with artificial intelligence is likely to advance biomarker research and diagnostics, including the potentials and challenges of developing scalable, reproducible quantification in routine cancer pathology.
PLOS Medicine published a clinical update in Research Highlights on 09 Apr 2026. The item focuses on Spatial omics and AI for clinically actionable cancer biomarkers. Open the detail page to review the full original feed content.