摘要
精确医学的产生以及发展离不开数据密集型研究范式的推动,不仅涉及到基于系统生物学的个体大数据研究策略,而且也广泛采用了大规模人群队列研究和真实世界研究方式。研究者利用这些研究策略来完成精确医学的两项主要任务:首先是发现各种标识个体特征的生物标志物,尤其是分子标志物,然后利用这些生物标志物来确定个体间的差异;其次是开展健康状态的全过程研究和维护,包括健康和亚健康过程中的早期监测和早期干预,以及疾病的诊断和治疗。
Initiation and development of the precision medicine is promoted by data-driven research,which is not only involving the approach of individual big-data based on systems biology,but also involving the approaches of huge crowd cohorts and real world study.By applying these approaches,the researchers target two major tasks:first,identifying biomarkers,particular bio-molecular biomarkers,which are used for distinguishing personal variations;secondly,carrying out healthcare for all the stages of personal health states,including early monitoring and early intervention in the health and pre-disease stages,and diagnosis and treatments of diseases.
作者
吴家睿
WU Jia-rui(Institute of Biochemistry and Cell Biology,Chinese Academy of Science,Shanghai 200031,China)
出处
《医学与哲学》
北大核心
2021年第21期19-25,30,共8页
Medicine and Philosophy
基金
2020年中国科学院战略先导专项(XDB38000000)。
