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However, the effectiveness of interventions is often inconsistent, and sustaining long-term behavior change remains a persistent challenge. Limited adoption, engagement, and adherence may stem from the inability of traditional one-size-fits-all approaches to account for differences in participants\u2019 biological, behavioral, environmental, and social contexts. However, hyper-personalized lifestyle medicine, enabled by recent advances in artificial intelligence (AI), offers a promising framework for integrating multidimensional health data to deliver individualized prevention and intervention strategies at scale. In this perspective, we discuss how AI-driven technologies, including predictive analytics, wearable devices, mobile health applications, conversational agents, and virtual assistants, may enhance the personalization, scalability, and sustainability of community-based health promotion programs, including schools. 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