• DocumentCode
    2155506
  • Title

    Grid-Enabled Bio-Sample Management Application for Data-Intensive Biomarker Analysis

  • Author

    Lickerman, E. ; Bry, L. ; Herring, N. ; Pandelidis, P. ; Nighat, A. ; Sharif, Mhd Saeed

  • Author_Institution
    Daedalus Software Inc., Cambridge, MA
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    751
  • Lastpage
    755
  • Abstract
    Data intensive biomarker analysis using well characterized clinical samples can benefit from grid capabilities for sample annotation. Lack of quality annotated samples remains a critical bottleneck in medical research, particularly when considering samples associated with sentinel events, such as acute myocardial infarction or initial diagnosis of rheumatic diseases. Pathology departments receive process and discard these and other useful samples daily upon completion of clinical testing. The Department of Pathology at Brigham and Women´s Hospital has developed a core IT platform to support prospective collection of discarded samples. This platform will serve investigators with IRB-approved protocols and support operations of the bio-banking facility
  • Keywords
    medical administrative data processing; medical computing; acute myocardial infarction; bio-banking facility; clinical testing; data-intensive biomarker analysis; grid-enabled bio-sample management; rheumatic diseases; Application software; Biomarkers; Data analysis; Diseases; Hospitals; Java; Medical diagnostic imaging; Myocardium; Pathology; Recruitment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1063-7125
  • Print_ISBN
    0-7695-2517-1
  • Type

    conf

  • DOI
    10.1109/CBMS.2006.93
  • Filename
    1647661