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However, due to the complicated mechanisms of CAR\u2010T cells, human interference alone was insufficient to optimize the outcomes. In parallel, artificial intelligence (AI) has begun to intersect with CAR\u2010T cells, offering novel computational interferences that can refine therapeutic mechanisms. The literature is still lacking a comprehensive investigation that merges CAR\u2010T cell mechanistic biology and limitations with the advancing abilities of AI to meet these barriers. This review provides an overview of the mechanistic foundations of CAR\u2010T cell. It also investigates the various challenges facing the current CAR\u2010T therapies including toxicity, resistance, and accessibility issues. On this basis, we examined the way AI\u2010based innovations are being utilized to optimize the CAR\u2010T engineering and clinical management. 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