PRECISION MEDICINE: DATA AND DISCOVERY FOR IMPROVED HEALTH AND THERAPY

被引:0
|
作者
Morgan, Alexander A. [1 ]
Crawford, Dana C. [2 ]
Denny, Josh C. [3 ]
Mooney, Sean D. [4 ]
Aronow, Bruce J. [5 ,6 ]
Brenner, Steven E. [7 ]
机构
[1] Stanford Univ, Sch Med, Stanford, CA 94305 USA
[2] Case Western Reserve Univ, Inst Computat Biol, Epidemiol & Biostat, Cleveland, OH 44106 USA
[3] Vanderbilt Univ, Med Ctr, Nashville, TN 37203 USA
[4] Univ Washington, Seattle, WA 98105 USA
[5] Cincinnati Childrens Hosp Med Ctr, Ctr Computat Med, Cincinnati, OH 45229 USA
[6] Univ Cincinnati, Cincinnati, OH 45229 USA
[7] Univ Calif Berkeley, Berkeley, CA 94720 USA
关键词
VISUALIZATION; ASSOCIATION;
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
The major goal of precision medicine is to improve human health. A feature that unites much research in the field is the use of large datasets such as genomic data and electronic health records. Research in this field includes examination of variation in the core bases of DNA and their methylation status, through variations in metabolic and signaling molecules, all the way up to broader systems level changes in physiology and disease presentation. Intermediate goals include understanding the individual drivers of disease that differentiate the cause of disease in each individual. To match this development of approaches to physical and activity-based measurements, computational approaches to using these new streams of data to better understand improve human health are being rapidly developed by the thriving biomedical informatics research community. This session of the 2017 Pacific Symposium of Biocomputing presents some of the latest advances in the capture, analysis and use of diverse biomedical data in precision medicine.
引用
收藏
页码:348 / 355
页数:8
相关论文
共 50 条
  • [1] PRECISION MEDICINE: DATA AND DISCOVERY FOR IMPROVED HEALTH AND THERAPY
    Morgan, Alexander A.
    Mooney, Sean D.
    Aronow, Bruce J.
    Brenner, Steven E.
    [J]. PACIFIC SYMPOSIUM ON BIOCOMPUTING 2016, 2016, : 243 - 248
  • [2] Big data hurdles in precision medicine and precision public health
    Mattia Prosperi
    Jae S. Min
    Jiang Bian
    François Modave
    [J]. BMC Medical Informatics and Decision Making, 18
  • [3] Big data hurdles in precision medicine and precision public health
    Prosperi, Mattia
    Min, Jae S.
    Bian, Jiang
    Modave, Francois
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2018, 18
  • [4] Precision Medicine, Genome Sequencing, and Improved Population Health
    Feero, W. Gregory
    Wicklund, Catherine A.
    Veenstra, David
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2018, 319 (19): : 1979 - 1980
  • [6] Knowledge Discovery Based on Data Analytics and Visualization Supporting Precision Medicine
    Gancheva, Veska
    [J]. 2ND INTERNATIONAL CONFERENCE ON MATHEMATICS AND COMPUTERS IN SCIENCE AND ENGINEERING (MACISE 2020), 2020, : 102 - 105
  • [7] Unbiased data analytic strategies to improve biomarker discovery in precision medicine
    Khan, Saifur R.
    Manialawy, Yousef
    Wheeler, Michael B.
    Cox, Brian J.
    [J]. DRUG DISCOVERY TODAY, 2019, 24 (09) : 1735 - 1748
  • [8] The Urgent Need for Health Data Justice in Precision Medicine
    Shaw, James
    Sekalala, Sharifah
    Fiske, Amelia
    [J]. AMERICAN JOURNAL OF BIOETHICS, 2024, 24 (03): : 101 - 103
  • [9] Convergence of Precision Medicine and Public Health Into Precision Public Health: Toward a Big Data Perspective
    Velmovitsky, Pedro Elkind
    Bevilacqua, Tatiana
    Alencar, Paulo
    Cowan, Donald
    Morita, Plinio Pelegrini
    [J]. FRONTIERS IN PUBLIC HEALTH, 2021, 9
  • [10] Precision medicine, genomics and drug discovery
    Cardon, Lon R.
    Harris, Tim
    [J]. HUMAN MOLECULAR GENETICS, 2016, 25 (R2) : R166 - R172