摘要糖尿病在我国呈流行趋势.经济水平的提高、饮食结构的改变、肥胖、老龄化因素等成为其主要原因.为应对新形势,我们需建立全国范围的国家协同网络,开展多中心临床研究.在大型前瞻队列基础上,采用新型数据采集系统、组学技术,开发新型、敏感、可靠的糖尿病危险因素和早期识别指标,进行疾病分子分型及功能注释,深入了解并更新疾病的发病机制;基于人工智能等先进技术,结合医疗大数据、科研知识库等,构建新型适合国人的糖尿病早期预警模型及体系、机器辅助诊疗系统;开展临床转化研究,从而制定适合各级医疗机构的早期筛查与诊断临床路径,并在全国推广应用.

abstractsDiabetes has been an epidemic in China. Developing economic levels, changes in diet, increasing of obesity, aging, and other factors are thought to be the main contributors. In the new situation for preventing and managing diabetes, several key issues should be seriously considered. We need to carry out high quality multi-center clinical researches based on a well-established nationwide collaborative research network; to identify and validate novel, sensitive and reliable diabetes risk factors and predictors using the new data collection system, and the "omics" technology based on the large-scale prospective cohorts with a long-term follow up; to reclassify diabetes based on the molecular and functional annotation, and finally to in-depth understand and update the pathogenesis of the disease. Furthermore, using the artificial intelligence and other advanced technologies combined with big medical and research data, etc., we should build new types of diabetes prediction models and systems, as well as machine-assisted diagnosis and treatment systems. Finally, we should carry out translational researches, as well as to develop early detection technologies and clinical pathways suitable for all levels of medical institutions.