Sökning: onr:"swepub:oai:DiVA.org:uu-321129" > E-Science technolog...
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000 | 07231naa a2200889 4500 | |
001 | oai:DiVA.org:uu-321129 | |
003 | SwePub | |
008 | 170501s2017 | |||||||||||000 ||eng| | |
009 | oai:DiVA.org:kth-214886 | |
009 | oai:prod.swepub.kib.ki.se:136592049 | |
009 | oai:DiVA.org:bth-14124 | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3211292 URI |
024 | 7 | a https://doi.org/10.1093/jamia/ocx0382 DOI |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2148862 URI |
024 | 7 | a http://kipublications.ki.se/Default.aspx?queryparsed=id:1365920492 URI |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:bth-141242 URI |
040 | a (SwePub)uud (SwePub)kthd (SwePub)kid (SwePub)bth | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a Spjuth, Ola,d 1977-u 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.4 aut0 (Swepub:uu)olspj499 |
245 | 1 0 | a E-Science technologies in a workflow for personalized medicine using cancer screening as a case study |
264 | c 2017-04-21 | |
264 | 1 | b Oxford University Press,c 2017 |
338 | a electronic2 rdacarrier | |
500 | a QC 20171023 | |
520 | a 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. | |
650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Bioinformatik0 (SwePub)102032 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Bioinformatics0 (SwePub)102032 hsv//eng |
650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe |
650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Radiologi och bildbehandling0 (SwePub)302082 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Radiology, Nuclear Medicine and Medical Imaging0 (SwePub)302082 hsv//eng |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Cancer och onkologi0 (SwePub)302032 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Cancer and Oncology0 (SwePub)302032 hsv//eng |
653 | a cancer | |
653 | a data integration | |
653 | a e-Science | |
653 | a modeling | |
653 | a personalized screening | |
653 | a simulation | |
653 | a Bioinformatik | |
653 | a Bioinformatics | |
653 | a Medical Informatics | |
653 | a Medicinsk informatik | |
700 | 1 | a Karlsson, Andreasu Karolinska Institutet,Karolinska Institutet, SWE4 aut |
700 | 1 | a Clements, Marku Karolinska Institutet,Karolinska Institutet, SWE4 aut |
700 | 1 | a Humphreys, Keithu Karolinska Institutet,Karolinska Institutet, SWE4 aut |
700 | 1 | a Ivansson, Emmau Karolinska Institutet, SWE4 aut |
700 | 1 | a Dowling, Jimu KTH,Programvaruteknik och Datorsystem, SCS,Royal Institute of Technology, SWE4 aut0 (Swepub:kth)u1ajem4z |
700 | 1 | a Eklund, Martinu Karolinska Institutet,Karolinska Institutet, SWE4 aut |
700 | 1 | a Jauhiainen, Alexandrau AstraZeneca AB R&D, SWE4 aut |
700 | 1 | a Czene, Kamilau Karolinska Institutet,Karolinska Institutet, SWE4 aut |
700 | 1 | a Grönberg, Henriku Karolinska Institutet,Karolinska Institutet, SWE4 aut |
700 | 1 | a Sparén, Päru Karolinska Institutet,Karolinska Institutet, SWE4 aut |
700 | 1 | a Wiklund, Fredriku Karolinska Institutet,Karolinska Institutet, SWE4 aut |
700 | 1 | a Abbas, Cheddadu Blekinge Tekniska Högskola,Institutionen för datalogi och datorsystemteknik,Big Data4 aut0 (Swepub:bth)abc |
700 | 1 | a Pálsdóttir, Þorgerðuru Nordic Information for Action e-Science Center, SWE4 aut |
700 | 1 | a Rantalainen, Mattiasu Karolinska Institutet,Karolinska Institutet, SWE4 aut |
700 | 1 | a Abrahamsson, Lindau Karolinska Institutet,Karolinska Institutet, SWE4 aut |
700 | 1 | a Laure, Erwinu Royal Institute of Technology, SWE4 aut |
700 | 1 | a Litton, Jan-Ericu Karolinska Institutet,European Research Infrastructure Consortium, AUT4 aut |
700 | 1 | a Palmgren, Juniu Karolinska Institutet,Helsinki University, FIN4 aut |
700 | 1 | a Palsdottir, P4 aut |
710 | 2 | a Uppsala universitetb Institutionen för farmaceutisk biovetenskap4 org |
773 | 0 | t JAMIA Journal of the American Medical Informatics Associationd : Oxford University Pressg 24:5, s. 950-957q 24:5<950-957x 1067-5027x 1527-974X |
856 | 4 | u https://doi.org/10.1093/jamia/ocx038y Fulltext |
856 | 4 | u https://uu.diva-portal.org/smash/get/diva2:1092186/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print |
856 | 4 | u https://academic.oup.com/jamia/article-pdf/24/5/950/19491653/ocx038.pdf |
856 | 4 | u https://academic.oup.com/jamia/article/doi/10.1093/jamia/ocx038/3746957/E-Science-technologies-in-a-workflow-for |
856 | 4 | u https://bth.diva-portal.org/smash/get/diva2:1090610/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-321129 |
856 | 4 8 | u https://doi.org/10.1093/jamia/ocx038 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214886 |
856 | 4 8 | u http://kipublications.ki.se/Default.aspx?queryparsed=id:136592049 |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:bth-14124 |
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