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This project aims to build up the comprehensive health database of geriatric medicine for middle-aged and elderly people in Taiwan.
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This project aims to establish a comprehensive local health database for adults aged 40 and above by integrating clinical data, functional assessments, genomics, metabolomics, and gut microbiome profiles.
The project focuses on validating metabolomic and genetic biomarkers associated with sarcopenia and developing predictive models for early risk identification. Longitudinal multi-omics analyses will be conducted using blood, urine, and fecal samples to explore metabolic dynamics and their links to aging-related conditions. In parallel, the study examines brain health and psychosocial factors, including sleep, resilience, apathy, and loneliness, to better understand their roles in cognitive function and healthy aging.
Through the integration of large-scale health data and advanced analytical approaches, this project aims to support early detection, personalized intervention strategies, and the development of precision healthy aging models.
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JI-TSENG FANG, Professor
Data sourced from clinicaltrials.gov
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