Literature DB >> 19508923

An infrastructure for interconnecting research institutions.

Kenneth H Buetow1.   

Abstract

Many researchers believe that personalized medicine is a potential solution to the well-known challenges facing the pharmaceutical industry worldwide today. Achieving the full promise of personalized medicine requires a new systems approach to biomedicine that will only be enabled by novel, interoperable IT infrastructures that facilitate simpler data access, data sharing, and enhanced collaboration. This article will describe how the technology developed in the cancer Biomedical Informatics Grid (caBIG) program (http://cabig.cancer.gov/) from the National Cancer Institute (NCI) is already enabling many research organizations to implement personalized medicine approaches for their basic and clinical research programs.

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Year:  2009        PMID: 19508923      PMCID: PMC7029436          DOI: 10.1016/j.drudis.2009.03.011

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  2 in total

Review 1.  Towards a cyberinfrastructure for the biological sciences: progress, visions and challenges.

Authors:  Lincoln D Stein
Journal:  Nat Rev Genet       Date:  2008-09       Impact factor: 53.242

2.  Is personalized medicine finally arriving?

Authors:  Malorye Allison
Journal:  Nat Biotechnol       Date:  2008-05       Impact factor: 54.908

  2 in total
  14 in total

Review 1.  Integrating biobanks: addressing the practical and ethical issues to deliver a valuable tool for cancer research.

Authors:  R William G Watson; Elaine W Kay; David Smith
Journal:  Nat Rev Cancer       Date:  2010-08-12       Impact factor: 60.716

2.  caTIES: a grid based system for coding and retrieval of surgical pathology reports and tissue specimens in support of translational research.

Authors:  Rebecca S Crowley; Melissa Castine; Kevin Mitchell; Girish Chavan; Tara McSherry; Michael Feldman
Journal:  J Am Med Inform Assoc       Date:  2010 May-Jun       Impact factor: 4.497

3.  Foundational biomedical informatics research in the clinical and translational science era: a call to action.

Authors:  Philip R O Payne; Peter J Embi; Joyce Niland
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

4.  TRIAD: The Translational Research Informatics and Data Management Grid.

Authors:  P Payne; D Ervin; R Dhaval; T Borlawsky; A Lai
Journal:  Appl Clin Inform       Date:  2011-08-17       Impact factor: 2.342

5.  Designing a public square for research computing.

Authors:  Daniel R Masys; Paul A Harris; Paul A Fearn; Isaac S Kohane
Journal:  Sci Transl Med       Date:  2012-08-29       Impact factor: 17.956

6.  Stakeholder perspectives on implementing the National Cancer Institute's patient-reported outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE).

Authors:  Deborah Watkins Bruner; Laura J Hanisch; Bryce B Reeve; Andy M Trotti; Deborah Schrag; Laura Sit; Tito R Mendoza; Lori Minasian; Ann O'Mara; Andrea M Denicoff; Julia H Rowland; Michael Montello; Cindy Geoghegan; Amy P Abernethy; Steven B Clauser; Kathleen Castro; Sandra A Mitchell; Laurie Burke; Ann Marie Trentacosti; Ethan M Basch
Journal:  Transl Behav Med       Date:  2011-03       Impact factor: 3.046

7.  Case Study: Semantic Annotation of a Pediatric Critical Care Research Study.

Authors:  Katherine A Sward; Sarah Rubin; Tammara L Jenkins; Christopher J Newth; J Michael Dean
Journal:  Comput Inform Nurs       Date:  2016-03       Impact factor: 1.985

8.  Improving diversity in cancer research trials: the story of the Cancer Disparities Research Network.

Authors:  Melissa A Simon; Erika E de la Riva; Raymond Bergan; Carrie Norbeck; June M McKoy; Piotr Kulesza; XinQi Dong; Julian Schink; Linda Fleisher
Journal:  J Cancer Educ       Date:  2014-06       Impact factor: 2.037

9.  How Will Big Data Improve Clinical and Basic Research in Radiation Therapy?

Authors:  Barry S Rosenstein; Jacek Capala; Jason A Efstathiou; Jeff Hammerbacher; Sarah L Kerns; Feng-Ming Spring Kong; Harry Ostrer; Fred W Prior; Bhadrasain Vikram; John Wong; Ying Xiao
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-11-11       Impact factor: 7.038

Review 10.  A Federated Network for Translational Cancer Research Using Clinical Data and Biospecimens.

Authors:  Rebecca S Jacobson; Michael J Becich; Roni J Bollag; Girish Chavan; Julia Corrigan; Rajiv Dhir; Michael D Feldman; Carmelo Gaudioso; Elizabeth Legowski; Nita J Maihle; Kevin Mitchell; Monica Murphy; Mayurapriyan Sakthivel; Eugene Tseytlin; JoEllen Weaver
Journal:  Cancer Res       Date:  2015-12-15       Impact factor: 12.701

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