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Mathematics in modern immunology

Mathematical and statistical methods enable multidisciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. We collect a representative sample of studies in T-cell biology that illu...

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Detalles Bibliográficos
Autores principales: Castro, Mario, Lythe, Grant, Molina-París, Carmen, Ribeiro, Ruy M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759751/
https://www.ncbi.nlm.nih.gov/pubmed/27051512
http://dx.doi.org/10.1098/rsfs.2015.0093
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author Castro, Mario
Lythe, Grant
Molina-París, Carmen
Ribeiro, Ruy M.
author_facet Castro, Mario
Lythe, Grant
Molina-París, Carmen
Ribeiro, Ruy M.
author_sort Castro, Mario
collection PubMed
description Mathematical and statistical methods enable multidisciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. We collect a representative sample of studies in T-cell biology that illustrate the benefits of modelling–experimental collaborations and that have proven valuable or even groundbreaking. We conclude that it is possible to find excellent examples of synergy between mathematical modelling and experiment in immunology, which have brought significant insight that would not be available without these collaborations, but that much remains to be discovered.
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spelling pubmed-47597512016-04-06 Mathematics in modern immunology Castro, Mario Lythe, Grant Molina-París, Carmen Ribeiro, Ruy M. Interface Focus Part I: Why a Human Physiome Is Needed for Realizing a Personalized Medicine Mathematical and statistical methods enable multidisciplinary approaches that catalyse discovery. Together with experimental methods, they identify key hypotheses, define measurable observables and reconcile disparate results. We collect a representative sample of studies in T-cell biology that illustrate the benefits of modelling–experimental collaborations and that have proven valuable or even groundbreaking. We conclude that it is possible to find excellent examples of synergy between mathematical modelling and experiment in immunology, which have brought significant insight that would not be available without these collaborations, but that much remains to be discovered. The Royal Society 2016-04-06 /pmc/articles/PMC4759751/ /pubmed/27051512 http://dx.doi.org/10.1098/rsfs.2015.0093 Text en © 2016 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Part I: Why a Human Physiome Is Needed for Realizing a Personalized Medicine
Castro, Mario
Lythe, Grant
Molina-París, Carmen
Ribeiro, Ruy M.
Mathematics in modern immunology
title Mathematics in modern immunology
title_full Mathematics in modern immunology
title_fullStr Mathematics in modern immunology
title_full_unstemmed Mathematics in modern immunology
title_short Mathematics in modern immunology
title_sort mathematics in modern immunology
topic Part I: Why a Human Physiome Is Needed for Realizing a Personalized Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759751/
https://www.ncbi.nlm.nih.gov/pubmed/27051512
http://dx.doi.org/10.1098/rsfs.2015.0093
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