Spatial omics and AI for clinically actionable cancer biomarkers

PLoS Medicine 2026 Open access

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Authors: Nic Gabriel Reitsam
DOI: 10.1371/journal.pmed.1005049
Cited by: 1
References: 11

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.

Fields of Study & Subjects

Cancer Genomics and Diagnostics Radiomics and Machine Learning in Medical Imaging Single-cell and spatial transcriptomics

Publication details

Journal / source
PLoS Medicine
Publisher
Public Library of Science (PLoS)
Volume
23
Issue
4
Pages
e1005049–e1005049
Publication date
9 April 2026
Language
EN