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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2016
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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. |
format | Online Article Text |
id | pubmed-4759751 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
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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