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Individually, these technologies have advanced cancer diagnosis, treatment, and patient stratification. AI\u2010driven approaches enhance drug discovery, optimize clinical trial design, and enable personalized therapeutic decision\u2010making. RNA vaccines provide a flexible platform for encoding tumor\u2010specific neoantigens, while CAR\u2010T therapies enable targeted immune\u2010mediated tumor cell elimination. Early\u2010phase clinical trials, particularly those combining RNA vaccines with immune checkpoint inhibitors, have demonstrated promising improvements in recurrence\u2010free survival (RFS) and immunogenicity. However, evidence supporting direct combinations of RNA vaccines and CAR\u2010T therapies remains largely preclinical or limited to early\u2010phase investigation and should therefore be interpreted with caution. This review explores how AI facilitates neoantigen discovery, RNA vaccine optimization, and CAR\u2010T cell engineering, and examines the emerging interplay between these modalities. While their integration represents a compelling framework for personalized oncology, significant challenges remain, including clinical validation, scalability, regulatory oversight, and equitable access.<\/jats:p>","DOI":"10.1155\/jimr\/2275385","type":"journal-article","created":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T08:48:11Z","timestamp":1788252491000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Integrating AI, RNA Vaccines, and CAR\u2010T Cells for Personalized 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