期刊
CURRENT OPINION IN BIOTECHNOLOGY
卷 58, 期 -, 页码 161-167出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.copbio.2019.03.004
关键词
-
资金
- BBVA Foundation [76/2016]
- IBM-BSC Joint Study Agreement (JSA) on Precision Medicine under the IBM-BSC Deep Learning Center Agreement
Big Data are radically changing biomedical research. The unprecedented advances in automated collection of large-scale molecular and clinical data pose major challenges to data analysis and interpretation, calling for the development of new computational approaches. The creation of powerful systems for the effective use of biomedical Big Data in Personalized Medicine (a.k.a. Precision Medicine) will require significant scientific and technical developments, including infrastructure, engineering, project and financial management. We review here how the evolution of data-driven methods offers the possibility to address many of these problems, guiding the formulation of hypotheses on systems functioning and the generation of mechanistic models, and facilitating the design of clinical procedures in Personalized Medicine.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据