The specific construction goals for this period include enrolling 100,000 individuals for dynamic follow-up, perfecting the biobank by collecting biological samples from 20,000 individuals, and gathering health questionnaire information from 30,000 people. The near-term goals emphasize the use of health check-up data combined with advanced artificial intelligence technologies to build disease prediction models and explore the association between retinal photographs and overall health status, which will assist in early screening and personalized interventions for high-risk populations. The medium- to long-term goals focus on biological age-related research, utilizing telomere length and multi-omics technologies to assess the differences between biological age and chronological age and analyze their key influencing factors. Data collection will be implemented through the health check-up centers of multiple campuses of PUTH.