数字赋能的超大型前瞻性队列是规范化获取高标准、高质量、跨尺度、多模态健康医疗大数据和生物样本的最佳来源。“健康浙江百万人群队列”项目致力于打造全球顶尖的高能级公共卫生与大健康科创平台，填补国内百万级人群队列空白，为临床医学、基础医学、转化医学和新时代公共卫生研究提供核心支撑。

本项目是由浙江大学牵头，由浙江省人民政府提供政策支持和资金保障，联合浙江省疾病预防控制中心、浙江省肿瘤医院共同开展的大型前瞻性人群队列研究项目。项目首席科学家为全球知名华人科学家、国家特聘专家、浙江省鲲鹏计划顶尖人才吴息凤教授。

本项目将通过多种途径，全方面、多维度收集健康医疗大数据以及各类生物样本，从微观的生物分子信息，到中观的个人信息，再到宏观的社会因素的多维度信息，串联多维度信息并进行长期追踪，建立以数字赋能为特色的健康人群、高危人群及患病人群队列。

基于队列，我们将突破跨尺度多模态健康医疗大数据融合辨析难题，开展覆盖重大慢性疾病全过程的全人群、全生命周期精准防诊治研究、人群精准营养和AI营养大数据研究与转化、环境健康研究、老龄化、认知与脑健康研究、多维度生物信息研究、医学人工智能技术驱动的大健康研究等。研究成果可转化为InterGene Kit精准检测试剂盒、AI健康预测工具、个性化餐谱的智能设计方法和系统、老年慢病全链路健康管理系统、老年慢病早筛早诊早治数智健康管理平台等一系列产品。

通过上述基础研究突破，为居民健康提供支持，推动人群精准分级，针对不同人群，采取针对性的三级预防策略，从而实现预测、预警、预防、早诊断、早发现、早治疗、精准治疗、精准康养八位一体的数智赋能的疾病防控和健康管理体系。推进教育、科技、人才三位一体协同发展，最终为健康中国建设、数字中国建设、人类命运共同体建设提供强力支撑。

 Healthy Zhejiang One Million People Cohort 

Large-scale prospective cohort empowered by digital technology is the best source for obtaining standardized, high-quality, multi-scale, and multi-modal health and medical big data, as well as biological samples. The Healthy Zhejiang One Million Cohort project is dedicated to creating a world-leading high-energy-level scientific research and innovation platform for public health and big health, filling the gap in China's million-level cohort and providing core support for clinical medicine, basic medicine, translational medicine, and public health research in the new era.

This large-scale prospective population cohort is led by Zhejiang University and supported by the Zhejiang Provincial People's Government in terms of policy and funding, and in collaboration with the Zhejiang Provincial Center for Disease Control and Prevention and the Zhejiang Provincial Cancer Hospital. The project's chief scientist is Professor Wu Xifeng, a globally renowned scientist, national distinguished expert, and top talent in Zhejiang Provincial Kunpeng Plan.

Through various ways, this project will comprehensively collect health and medical big data as well as various types of biological samples from multiple dimensions. It will connect micro-level, e.g., microscopic biomolecular information, meso-level, e.g., personal information, and macro-level, e.g.,  social factors, integrate multiple dimensions of information and conduct long-term follow-up for health outcome, establishing a cohort of healthy individuals, high-risk individuals, and diseased individuals characterized by digital empowerment.

Based on the cohort, we will break through the challenges of integrating and analyzing multi-scale and multi-modal health and medical big data, and conduct precise prevention, diagnosis, and treatment research covering the continual process of diseases; precision nutrition research and AI nutrition big data research, as well as its translation; environmental health research; aging, cognition and brain health research; multidimensional bioinformatics research, and medical AI-driven big health research. The research results can be transformed into a series of products, including InterGene Kit precision diagnostic kits, AI health prediction tools, intelligent design methods and systems for personalized meal plans, comprehensive health management systems for elderly patients, and intelligent health management platforms for early screening, early diagnosis, and early treatment of elderly patients with chronic diseases.

Through the aforementioned breakthroughs in basic research, we will provide support for residents' health, promote precise population stratification, and adopt targeted three-level preventive strategies for different populations, thereby realizing the integration of prediction, warning, prevention, early diagnosis, early detection, early treatment, precision treatment, and precision health through digital empowerment. This will promote the coordinated development of education, science and technology, and talents, ultimately providing strong support for construction of a healthy China, a digital China, and a community with a shared future for mankind.