SwePub
Sök i LIBRIS databas

  Extended search

WFRF:(Wiklund Emma)
 

Search: WFRF:(Wiklund Emma) > E-Science technolog...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00007231naa a2200889 4500
001oai:DiVA.org:uu-321129
003SwePub
008170501s2017 | |||||||||||000 ||eng|
009oai:DiVA.org:kth-214886
009oai:prod.swepub.kib.ki.se:136592049
009oai:DiVA.org:bth-14124
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3211292 URI
0247 a https://doi.org/10.1093/jamia/ocx0382 DOI
0247 a https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-2148862 URI
0247 a http://kipublications.ki.se/Default.aspx?queryparsed=id:1365920492 URI
0247 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 7a ref2 swepub-contenttype
072 7a art2 swepub-publicationtype
1001 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
2451 0a E-Science technologies in a workflow for personalized medicine using cancer screening as a case study
264 c 2017-04-21
264 1b 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 7a NATURVETENSKAPx Data- och informationsvetenskapx Bioinformatik0 (SwePub)102032 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Bioinformatics0 (SwePub)102032 hsv//eng
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Radiologi och bildbehandling0 (SwePub)302082 hsv//swe
650 7a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Radiology, Nuclear Medicine and Medical Imaging0 (SwePub)302082 hsv//eng
650 7a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Cancer och onkologi0 (SwePub)302032 hsv//swe
650 7a 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
7001 a Karlsson, Andreasu Karolinska Institutet,Karolinska Institutet, SWE4 aut
7001 a Clements, Marku Karolinska Institutet,Karolinska Institutet, SWE4 aut
7001 a Humphreys, Keithu Karolinska Institutet,Karolinska Institutet, SWE4 aut
7001 a Ivansson, Emmau Karolinska Institutet, SWE4 aut
7001 a Dowling, Jimu KTH,Programvaruteknik och Datorsystem, SCS,Royal Institute of Technology, SWE4 aut0 (Swepub:kth)u1ajem4z
7001 a Eklund, Martinu Karolinska Institutet,Karolinska Institutet, SWE4 aut
7001 a Jauhiainen, Alexandrau AstraZeneca AB R&D, SWE4 aut
7001 a Czene, Kamilau Karolinska Institutet,Karolinska Institutet, SWE4 aut
7001 a Grönberg, Henriku Karolinska Institutet,Karolinska Institutet, SWE4 aut
7001 a Sparén, Päru Karolinska Institutet,Karolinska Institutet, SWE4 aut
7001 a Wiklund, Fredriku Karolinska Institutet,Karolinska Institutet, SWE4 aut
7001 a Abbas, Cheddadu Blekinge Tekniska Högskola,Institutionen för datalogi och datorsystemteknik,Big Data4 aut0 (Swepub:bth)abc
7001 a Pálsdóttir, Þorgerðuru Nordic Information for Action e-Science Center, SWE4 aut
7001 a Rantalainen, Mattiasu Karolinska Institutet,Karolinska Institutet, SWE4 aut
7001 a Abrahamsson, Lindau Karolinska Institutet,Karolinska Institutet, SWE4 aut
7001 a Laure, Erwinu Royal Institute of Technology, SWE4 aut
7001 a Litton, Jan-Ericu Karolinska Institutet,European Research Infrastructure Consortium, AUT4 aut
7001 a Palmgren, Juniu Karolinska Institutet,Helsinki University, FIN4 aut
7001 a Palsdottir, P4 aut
7102 a Uppsala universitetb Institutionen för farmaceutisk biovetenskap4 org
7730 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
8564 u https://doi.org/10.1093/jamia/ocx038y Fulltext
8564 u https://uu.diva-portal.org/smash/get/diva2:1092186/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 u https://academic.oup.com/jamia/article-pdf/24/5/950/19491653/ocx038.pdf
8564 u https://academic.oup.com/jamia/article/doi/10.1093/jamia/ocx038/3746957/E-Science-technologies-in-a-workflow-for
8564 u https://bth.diva-portal.org/smash/get/diva2:1090610/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-321129
8564 8u https://doi.org/10.1093/jamia/ocx038
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-214886
8564 8u http://kipublications.ki.se/Default.aspx?queryparsed=id:136592049
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:bth-14124

Find in a library

To the university's database

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view