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

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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

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  • 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