<p>Nature Reviews Cancer, Published online: 21 April 2026; <a href="https://www.nature.com/articles/s41568-026-00922-2">doi:10.1038/s41568-026-00922-2</a></p>While high-throughput omics have deepened our understanding of tumour complexity, analyses restricted to a single omics layer risk overlooking key dimensions of biological regulation. In this Review, Liu and colleagues highlight how artificial intelligence could be harnessed for integrating multi-omics data to provide patient-specific insights into cancer mechanisms and treatment response.
Advancing AI for multi-omics and clinical data integration in basic and translational cancer research
Nature Reviews Cancer | | Kang Zhang
Topics: cervical-cancer, research