Explaining disease using big data: How valid is your pathway?

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

The design of solutions to current societal challenges in human health, healthcare and nutrition, and to the sustainable production of food, feed and energy, requires academic innovations and industrial activity based on life science R&D in its broadest sense. The diversity of on-going programs shows that public-private collaboration is increasing in each of these sectors. A few examples in The Netherlands alone include the Dutch Techcenter for Life Sciences (DTL), CTMM-TraIT (TransMart, Open Clinica), NFU Data 4 Lifesciences initiative, Onco-XL, Parelsnoer, Centre for Personalized Cancer Treatment (CPCT) and Philips' Health-Suite Digital Platform in the Life Science & Health sector; Breed4Food and TIFN in Agri&Food; Virtual Lab for Plant Breeding, Seed Valley and 'Tuinbouw Digitaal' in Horticulture; and BeBasic in Biobased Economy.style the text.

Original languageEnglish
Title of host publicationProceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015
PublisherInstitute of Electrical and Electronics Engineers, Inc.
Pages662-664
Number of pages3
ISBN (Electronic)9781467378123
DOIs
Publication statusPublished - 2 Sep 2015
Event13th International Conference on High Performance Computing and Simulation, HPCS 2015 - Amsterdam, Netherlands
Duration: 20 Jul 201524 Jul 2015

Conference

Conference13th International Conference on High Performance Computing and Simulation, HPCS 2015
CountryNetherlands
CityAmsterdam
Period20/07/1524/07/15

Fingerprint

Life sciences
Pathway
Health
Valid
Sector
Oncology
Nutrition
Healthcare
Seed
Cancer
Innovation
Energy
Big data

Cite this

Stringer, B., Dijkstra, M., Feenstra, A., Abeln, S., & Heringa, J. (2015). Explaining disease using big data: How valid is your pathway? In Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015 (pp. 662-664). [7237114] Institute of Electrical and Electronics Engineers, Inc.. https://doi.org/10.1109/HPCSim.2015.7237114
Stringer, Bas ; Dijkstra, Maurits ; Feenstra, Anton ; Abeln, Sanne ; Heringa, Jaap. / Explaining disease using big data : How valid is your pathway?. Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015. Institute of Electrical and Electronics Engineers, Inc., 2015. pp. 662-664
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Stringer, B, Dijkstra, M, Feenstra, A, Abeln, S & Heringa, J 2015, Explaining disease using big data: How valid is your pathway? in Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015., 7237114, Institute of Electrical and Electronics Engineers, Inc., pp. 662-664, 13th International Conference on High Performance Computing and Simulation, HPCS 2015, Amsterdam, Netherlands, 20/07/15. https://doi.org/10.1109/HPCSim.2015.7237114

Explaining disease using big data : How valid is your pathway? / Stringer, Bas; Dijkstra, Maurits; Feenstra, Anton; Abeln, Sanne; Heringa, Jaap.

Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015. Institute of Electrical and Electronics Engineers, Inc., 2015. p. 662-664 7237114.

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Stringer B, Dijkstra M, Feenstra A, Abeln S, Heringa J. Explaining disease using big data: How valid is your pathway? In Proceedings of the 2015 International Conference on High Performance Computing and Simulation, HPCS 2015. Institute of Electrical and Electronics Engineers, Inc. 2015. p. 662-664. 7237114 https://doi.org/10.1109/HPCSim.2015.7237114