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Embracing the Digital Revolution: How Artificial Intelligence is Transforming Clinical Trials in Older Participants
Yaru Wang1,2, Miao Miao1,2, Qingqing Wang1,2
1Department of Clinical Trial Research Center, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730, China.
None:
Artificial intelligence (AI) is revolutionizing clinical trials in geriatric populations by addressing the unique challenges of aging-related diseases and patient heterogeneity. Advanced AI techniques, including machine learning, deep learning, and AI-driven digital health platforms, enable intelligent patient stratification, risk prediction, and real-time monitoring tailored to older adults. AI facilitates the design and execution of decentralized clinical trials, improving accessibility and compliance among older participants. Moreover, AI-powered digital twins and predictive models enhance safety assessments and treatment personalization, optimizing therapeutic outcomes. By integrating multi-omics data, electronic health records, and wearable device outputs, AI enables precise and dynamic decision-making throughout the trial lifecycle. This approach not only increases trial efficiency and accuracy but also supports ethical, patient-centered research practices. This review explores the transformative role of AI in geriatric clinical trials, outlining key advancements, practical challenges, and strategic directions for establishing AI as a catalyst for precision medicine in aging populations.
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