HARNESSING BIG DATA FOR PRECISION MEDICINE: INFRASTRUCTURES AND APPLICATIONS

被引:0
|
作者
Yu, Kun-Hsing [1 ]
Hart, Steven N. [2 ]
Goldfeder, Rachel [3 ]
Zhang, Qiangfeng Cliff [4 ]
Parker, Stephen C. J. [5 ]
Snyder, Michael [6 ]
机构
[1] Stanford Univ, Biomed Informat Training Program, 3165 Porter Dr,Room 2270, Palo Alto, CA 94304 USA
[2] Mayo Clin, Ctr Individualized Med, 200 First St SW, Rochester, MN 55905 USA
[3] Stanford Univ, Biomed Informat Training Program, 870 Quarry Rd, Stanford, CA 94305 USA
[4] Tsinghua Univ, Sch Life Sci, Med Sci Bldg,B-1002, Beijing 100084, Peoples R China
[5] Univ Michigan, Computat Med & Bioinformat, 100 Washtenaw Ave, Ann Arbor, MI 48109 USA
[6] Stanford Univ, Dept Genet, 300 Pasteur Dr,M344 MC 5120, Stanford, CA 94305 USA
关键词
D O I
暂无
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Precision medicine is a health management approach that accounts for individual differences in genetic backgrounds and environmental exposures. With the recent advancements in high-throughput omics profiling technologies, collections of large study cohorts, and the developments of data mining algorithms, big data in biomedicine is expected to provide novel insights into health and disease states, which can be translated into personalized disease prevention and treatment plans. However, petabytes of biomedical data generated by multiple measurement modalities poses a significant challenge for data analysis, integration, storage, and result interpretation. In addition, patient privacy preservation, coordination between participating medical centers and data analysis working groups, as well as discrepancies in data sharing policies remain important topics of discussion. In this workshop, we invite experts in omics integration, biobank research, and data management to share their perspectives on leveraging big data to enable precision medicine.
引用
收藏
页码:635 / 639
页数:5
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