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Specifically, advances in high\u2010throughput, subcellular, and multiomics profiling are promoting the field toward deeper insights. In parallel, computational progress, including generative artificial intelligence (AI) and foundation models, is developing rapidly for manipulating multimodal multiomics data. These advancements have been applied to diverse diseases and biological systems, facilitating innovative biomedical findings. However, a significant gap persists between rapid methodological advances and their systematic application for deciphering human biology and pathology. This review synthesizes recent breakthroughs in single\u2010cell and spatial technologies and surveys computational methods, including AI\u2010driven approaches, foundation models, and multi\u2010omics integration algorithms for both single\u2010cell and spatial analyses. We then summarize representative applications across major human organ systems in health and disease, highlighting opportunities for biomarker discovery, therapeutic target identification, and precision medicine. Finally, we discuss current challenges and future directions for bridging technological innovation with robust biomedical discovery and translational impact. This review provides a vital guide for researchers in the field, offering critical insights for accelerating the translation of single\u2010cell and spatial omics.<\/jats:p>","DOI":"10.1002\/mco2.70713","type":"journal-article","created":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T05:06:41Z","timestamp":1775538401000},"source":"Crossref","is-referenced-by-count":10,"title":["Single\u2010Cell and Spatial Omics: Methods and Applications"],"prefix":"10.1002","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4848-4302","authenticated-orcid":false,"given":"Xiaoping","family":"Cen","sequence":"first","affiliation":[{"name":"Guangzhou National Laboratory, Guangzhou International Bio Island  Guangzhou Guangdong Province China"},{"name":"State Key Laboratory of Oncology in South China Collaborative Innovation Center for Cancer Medicine Sun Yat\u2010sen University Cancer Center  Guangzhou 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