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  • Spjuth, Ola,1977-Uppsala universitet,Institutionen för farmaceutisk biovetenskap,Science for Life Laboratory, SciLifeLab,Department of Medical Epidemiology and Biostatistics and Swedish e-Science Research Centre, Karolinska Institutet, Stockholm, Sweden. (author)

E-Science technologies in a workflow for personalized medicine using cancer screening as a case study

  • Article/chapterEnglish2017

Publisher, publication year, extent ...

  • 2017-04-21
  • Oxford University Press,2017
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:uu-321129
  • https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-321129URI
  • https://doi.org/10.1093/jamia/ocx038DOI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214886URI
  • http://kipublications.ki.se/Default.aspx?queryparsed=id:136592049URI
  • https://urn.kb.se/resolve?urn=urn:nbn:se:bth-14124URI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • QC 20171023
  • Objective: We provide an e-Science perspective on the workflow from risk factor discovery and classification of disease to evaluation of personalized intervention programs. As case studies, we use personalized prostate and breast cancer screenings.Materials and Methods: We describe an e-Science initiative in Sweden, e-Science for Cancer Prevention and Control (eCPC), which supports biomarker discovery and offers decision support for personalized intervention strategies. The generic eCPC contribution is a workflow with 4 nodes applied iteratively, and the concept of e-Science signifies systematic use of tools from the mathematical, statistical, data, and computer sciences.Results: The eCPC workflow is illustrated through 2 case studies. For prostate cancer, an in-house personalized screening tool, the Stockholm-3 model (S3M), is presented as an alternative to prostate-specific antigen testing alone. S3M is evaluated in a trial setting and plans for rollout in the population are discussed. For breast cancer, new biomarkers based on breast density and molecular profiles are developed and the US multicenter Women Informed to Screen Depending on Measures (WISDOM) trial is referred to for evaluation. While current eCPC data management uses a traditional data warehouse model, we discuss eCPC-developed features of a coherent data integration platform.Discussion and Conclusion: E-Science tools are a key part of an evidence-based process for personalized medicine. This paper provides a structured workflow from data and models to evaluation of new personalized intervention strategies. The importance of multidisciplinary collaboration is emphasized. Importantly, the generic concepts of the suggested eCPC workflow are transferrable to other disease domains, although each disease will require tailored solutions.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Karlsson, AndreasKarolinska Institutet,Karolinska Institutet, SWE (author)
  • Clements, MarkKarolinska Institutet,Karolinska Institutet, SWE (author)
  • Humphreys, KeithKarolinska Institutet,Karolinska Institutet, SWE (author)
  • Ivansson, EmmaKarolinska Institutet, SWE (author)
  • Dowling, JimKTH,Programvaruteknik och Datorsystem, SCS,Royal Institute of Technology, SWE(Swepub:kth)u1ajem4z (author)
  • Eklund, MartinKarolinska Institutet,Karolinska Institutet, SWE (author)
  • Jauhiainen, AlexandraAstraZeneca AB R&D, SWE (author)
  • Czene, KamilaKarolinska Institutet,Karolinska Institutet, SWE (author)
  • Grönberg, HenrikKarolinska Institutet,Karolinska Institutet, SWE (author)
  • Sparén, PärKarolinska Institutet,Karolinska Institutet, SWE (author)
  • Wiklund, FredrikKarolinska Institutet,Karolinska Institutet, SWE (author)
  • Abbas, CheddadBlekinge Tekniska Högskola,Institutionen för datalogi och datorsystemteknik,Big Data(Swepub:bth)abc (author)
  • Pálsdóttir, ÞorgerðurNordic Information for Action e-Science Center, SWE (author)
  • Rantalainen, MattiasKarolinska Institutet,Karolinska Institutet, SWE (author)
  • Abrahamsson, LindaKarolinska Institutet,Karolinska Institutet, SWE (author)
  • Laure, ErwinRoyal Institute of Technology, SWE (author)
  • Litton, Jan-EricKarolinska Institutet,European Research Infrastructure Consortium, AUT (author)
  • Palmgren, JuniKarolinska Institutet,Helsinki University, FIN (author)
  • Palsdottir, P (author)
  • Uppsala universitetInstitutionen för farmaceutisk biovetenskap (creator_code:org_t)

Related titles

  • In:JAMIA Journal of the American Medical Informatics Association: Oxford University Press24:5, s. 950-9571067-50271527-974X

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