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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/97466
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dc.contributor.authorAshdown, M.L.-
dc.contributor.authorCoventry, B.J.-
dc.contributor.authorAbbott, D.-
dc.date.issued2013-
dc.identifier.citationJournal for ImmunoTherapy of Cancer, 2013, vol.1, iss.Suppl. 1, pp.P150-P150-
dc.identifier.issn2051-1426-
dc.identifier.issn2051-1426-
dc.identifier.urihttp://hdl.handle.net/2440/97466-
dc.description.statementofresponsibilityMartin L Ashdown, Brendon J Coventry, Derek Abbott-
dc.language.isoen-
dc.publisherBioMed Central-
dc.rights© 2013 Ashdown et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.-
dc.source.urihttp://dx.doi.org/10.1186/2051-1426-1-s1-p150-
dc.titleMathematical modeling of immune kinetics in advanced cancer through meta-analyses of complete response rates: immune synchronisation emerges as the likely key determinant of clinical response-
dc.typeConference item-
dc.contributor.conferenceAbstracts of the 28th Annual Scientific Meeting of the Society for Immunotherapy of Cancer (SITC) (8 Nov 2013 - 10 Nov 2013 : National Harbor, Maryland, USA)-
dc.identifier.doi10.1186/2051-1426-1-S1-P150-
pubs.publication-statusPublished-
dc.identifier.orcidAbbott, D. [0000-0002-0945-2674]-
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Electrical and Electronic Engineering publications

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