Data-Driven Computations in the Life Sciences

Detalhes bibliográficos
Autor(a) principal: Pires, Marília
Data de Publicação: 2015
Outros Autores: Sequeira, Adélia, Tiago, Jorge
Idioma: por
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10174/17006
Resumo: Mathematical modeling and simulations in the Life Sciences is a very ambitious and rapidly developing interdisciplinary research field that connects mathematics, computational sciences and engineering to biology and medicine. Starting from high-resolution volumetric medical imaging, the development of spatially realistic physiological models for predictive medicine leads to complex mathematical models to capture heterogeneous processes of multiscale nature, that require highly efficient numerical algorithms and high performance computing techniques for their simulation. The aim of he School is to bring together doctoral candidates, postdoctoral scientists and graduates in applied mathematics, bioengineering and medicine, who wish to be involved in this fascinating research field, giving them the opportunity to make scientific interactions and new connections with established experts in the different topics covered by these events.
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spelling Data-Driven Computations in the Life SciencesData-DrivenLife SciencesMathematical modeling and simulations in the Life Sciences is a very ambitious and rapidly developing interdisciplinary research field that connects mathematics, computational sciences and engineering to biology and medicine. Starting from high-resolution volumetric medical imaging, the development of spatially realistic physiological models for predictive medicine leads to complex mathematical models to capture heterogeneous processes of multiscale nature, that require highly efficient numerical algorithms and high performance computing techniques for their simulation. The aim of he School is to bring together doctoral candidates, postdoctoral scientists and graduates in applied mathematics, bioengineering and medicine, who wish to be involved in this fascinating research field, giving them the opportunity to make scientific interactions and new connections with established experts in the different topics covered by these events.Instituto Superior Técnico2016-01-28T15:31:00Z2016-01-282015-11-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10174/17006http://hdl.handle.net/10174/17006pormarilia@uevora.ptadelia.sequeira@math.tecnico.ulisboa.ptjftiago@math.tecnico.ulisboa.ptPires, MaríliaSequeira, AdéliaTiago, Jorgeinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-01-03T19:03:53Zoai:dspace.uevora.pt:10174/17006Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T12:08:31.312578Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Data-Driven Computations in the Life Sciences
title Data-Driven Computations in the Life Sciences
spellingShingle Data-Driven Computations in the Life Sciences
Pires, Marília
Data-Driven
Life Sciences
title_short Data-Driven Computations in the Life Sciences
title_full Data-Driven Computations in the Life Sciences
title_fullStr Data-Driven Computations in the Life Sciences
title_full_unstemmed Data-Driven Computations in the Life Sciences
title_sort Data-Driven Computations in the Life Sciences
author Pires, Marília
author_facet Pires, Marília
Sequeira, Adélia
Tiago, Jorge
author_role author
author2 Sequeira, Adélia
Tiago, Jorge
author2_role author
author
dc.contributor.author.fl_str_mv Pires, Marília
Sequeira, Adélia
Tiago, Jorge
dc.subject.por.fl_str_mv Data-Driven
Life Sciences
topic Data-Driven
Life Sciences
description Mathematical modeling and simulations in the Life Sciences is a very ambitious and rapidly developing interdisciplinary research field that connects mathematics, computational sciences and engineering to biology and medicine. Starting from high-resolution volumetric medical imaging, the development of spatially realistic physiological models for predictive medicine leads to complex mathematical models to capture heterogeneous processes of multiscale nature, that require highly efficient numerical algorithms and high performance computing techniques for their simulation. The aim of he School is to bring together doctoral candidates, postdoctoral scientists and graduates in applied mathematics, bioengineering and medicine, who wish to be involved in this fascinating research field, giving them the opportunity to make scientific interactions and new connections with established experts in the different topics covered by these events.
publishDate 2015
dc.date.none.fl_str_mv 2015-11-01T00:00:00Z
2016-01-28T15:31:00Z
2016-01-28
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10174/17006
http://hdl.handle.net/10174/17006
url http://hdl.handle.net/10174/17006
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv marilia@uevora.pt
adelia.sequeira@math.tecnico.ulisboa.pt
jftiago@math.tecnico.ulisboa.pt
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Instituto Superior Técnico
publisher.none.fl_str_mv Instituto Superior Técnico
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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