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A predictive multiscale model of in-stent restenosis in femoral arteries: linking haemodynamics and gene expression with an agent-based model of cellular dynamics.
Corti, Anna; Colombo, Monika; Rozowsky, Jared M; Casarin, Stefano; He, Yong; Carbonaro, Dario; Migliavacca, Francesco; Rodriguez Matas, Jose F; Berceli, Scott A; Chiastra, Claudio.
Afiliación
  • Corti A; LaBS, Department of Chemistry, Materials and Chemical Engineering 'Giulio Natta', Politecnico di Milano, Milan, Italy.
  • Colombo M; LaBS, Department of Chemistry, Materials and Chemical Engineering 'Giulio Natta', Politecnico di Milano, Milan, Italy.
  • Rozowsky JM; Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zürich, Switzerland.
  • Casarin S; Department of Surgery, University of Florida, Gainesville, FL, USA.
  • He Y; Department of Surgery, Houston Methodist Hospital, Houston, TX, USA.
  • Carbonaro D; Center for Computational Surgery, Houston Methodist Research Institute, Houston, TX, USA.
  • Migliavacca F; Houston Methodist Academic Institute, Houston, TX, USA.
  • Rodriguez Matas JF; Department of Surgery, University of Florida, Gainesville, FL, USA.
  • Berceli SA; PoliToBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Turin, Italy.
  • Chiastra C; LaBS, Department of Chemistry, Materials and Chemical Engineering 'Giulio Natta', Politecnico di Milano, Milan, Italy.
J R Soc Interface ; 19(188): 20210871, 2022 03.
Article en En | MEDLINE | ID: mdl-35350882
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Reestenosis Coronaria / Arteria Femoral Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J R Soc Interface Año: 2022 Tipo del documento: Article País de afiliación: Italia
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Reestenosis Coronaria / Arteria Femoral Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J R Soc Interface Año: 2022 Tipo del documento: Article País de afiliación: Italia