Big Data for Precision Medicine

被引:31
|
作者
Leff, Daniel Richard [1 ]
Yang, Guang-Zhong [1 ]
机构
[1] Imperial Coll London, Hamlyn Ctr, South Kensington Campus, London SW7 2AZ, England
基金
英国工程与自然科学研究理事会;
关键词
big data; biosensors; body-sensing networks; implantable sensors; clinical decision support systems; pharmacogenetics; mHealth;
D O I
10.15302/J-ENG-2015075
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This article focuses on the potential impact of big data analysis to improve health, prevent and detect disease at an earlier stage, and personalize interventions. The role that big data analytics may have in interrogating the patient electronic health record toward improved clinical decision support is discussed. We examine developments in pharmacogenetics that have increased our appreciation of the reasons why patients respond differently to chemotherapy. We also assess the expansion of online health communications and the way in which this data may be capitalized on in order to detect public health threats and control or contain epidemics. Finally, we describe how a new generation of wearable and implantable body sensors may improve wellbeing, streamline management of chronic diseases, and improve the quality of surgical implants.
引用
收藏
页码:277 / 279
页数:3
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