中文摘要：

面对生命复杂性的巨大挑战，研究者提出了整合基因组、蛋白质组和代谢组等多组学数据，以及整合从分子到生理病理表型数据的系统生物学研究策略，利用该策略建立以个体为中心的多层级人类疾病知识整合数据库，并在此基础上形成可用于疾病精确分类的生物医学知识网络，进而发展出未来能够为每个个体提供最好医疗护理的精准医学。

英文摘要：

Facing the grand challenges of biological complexity, researchers have developed the systems biology approaches for integrating data derived from genomics, proteomics and metabolomics and other omics, integrating data from molecular level to physiological and pathological levels. Based on the strategy and tools of systems biology, it is possible to build individual-centric biomedical database that consists of multilayered and highly interconnected biological parameters, and then construct a knowledge network of biomedical research, which could be used for new taxonomic classification of diseases. The biomedical knowledge-network and new taxonomy of diseases should support a so-called precision medicine that provides the best accessible medical-care for each individual.