大数据、复杂性、健康和疾病

2019.09.19

投稿:龚惠英部门:理学院浏览次数:

活动信息

时间: 2019年09月20日 14:00

地点: 校本部J101

报告题目(Title):Big Data, Complexity, Wellness and Disease(大数据、复杂性、健康和疾病)

报 告 人(Speaker):Leroy (Lee) Hood教授 (美国科学院、工程院、医学院、科学与艺术学院四院院士,美国系统生物学研究所创始人,DNA与蛋白质自动合成与测序技术发明人,人类基因组计划发起人之一)

报告时间(Time): 2019年9月20日(周五)  14:00

报告地点(Place):校本部J101

邀请人(inviter):敖平

摘要(Abstract):

A systems approach to human health and the big data derived from genome and the longitudinal phenome of individuals leads to analyses are transforming our understanding of wellness and disease. We have employed genome and “deep phenotyping” to make billions of measurements on individual humans—assaying 100s of different biological networks--to generate 1000s of longitudinal data clouds that have given remarkable new insights into many aspects of human wellness and disease. Further, they lead us to a 21st century medicine that is predictive, preventive, personalize and participatory (P4) and that in turn leads one to the conclusion that healthcare has two major domains—wellness and disease. The objective of 21st century medicine will be to understand deeply and optimize wellness, to understand disease and its progressions and to identify and reverse the earliest transitions between the two—this will be the preventive medicine of the 21st century. These insights and others derived from longitudinal deep phenotyping of individuals have far-reaching implications for the practice of 21st century medicine, some of which will be discussed.(整合系统方法和个体基因组及纵向表型组大数据对人体健康状况的分析,正在转变着我们对健康和疾病的理解。从个体基因组和“深度表型”中获得的数十亿条观测数据,对数百个不同的生物网络的检测和由此生成的数千纵度数据云,为我们理解人类健康和疾病带来了 多方位的全新见解。这更进一步地带来了21世纪“P4”医学理念,即集预见性(Predictive)、预防性(Preventive)、个体化(Personalize) 和参与性(Participatory)为一体的系统医学体系,健康和疾病是个体健康的一体两面,将在系统医疗体系中被同时关注。 21世纪医学的目标将是深度理解和优化个体健康,理解疾病的发展机制,鉴别和逆转二者的早期转化,即预防性医疗。显微而阐幽,彰往以察来,个体纵向深度表型对21世纪医学实践的启发,将在此报告中进行讨论。)