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Human Purkinje in silico model enables mechanistic investigations into automaticity and pro-arrhythmic abnormalities.
Trovato, Cristian; Passini, Elisa; Nagy, Norbert; Varró, András; Abi-Gerges, Najah; Severi, Stefano; Rodriguez, Blanca.
Afiliação
  • Trovato C; Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford OX13QD, United Kingdom. Electronic address: cristian.trovato@cs.ox.ac.uk.
  • Passini E; Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford OX13QD, United Kingdom.
  • Nagy N; Department of Pharmacology and Pharmacotherapy, University of Szeged, Szeged H-6720, Hungary; Department of Pharmacology and Pharmacotherapy, Interdisciplinary Excellence Centre, University of Szeged, Szeged, Hungary.
  • Varró A; Department of Pharmacology and Pharmacotherapy, University of Szeged, Szeged H-6720, Hungary; Department of Pharmacology and Pharmacotherapy, Interdisciplinary Excellence Centre, University of Szeged, Szeged, Hungary.
  • Abi-Gerges N; AnaBios Corporation, San Diego Science Center, San Diego, CA 92109, USA.
  • Severi S; Department of Electrical, Electronic and Information Engineering, University of Bologna, Cesena 47521, Italy.
  • Rodriguez B; Department of Computer Science, British Heart Foundation Centre of Research Excellence, University of Oxford, Oxford OX13QD, United Kingdom. Electronic address: blanca.rodriguez@cs.ox.ac.uk.
J Mol Cell Cardiol ; 142: 24-38, 2020 05.
Article em En | MEDLINE | ID: mdl-32251669
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arritmias Cardíacas / Ramos Subendocárdicos / Biomarcadores / Suscetibilidade a Doenças / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Arritmias Cardíacas / Ramos Subendocárdicos / Biomarcadores / Suscetibilidade a Doenças / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article