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Integrating Computational and Biological Hemodynamic Approaches to Improve Modeling of Atherosclerotic Arteries.
Vuong, Thao Nhu Anne Marie; Bartolf-Kopp, Michael; Andelovic, Kristina; Jungst, Tomasz; Farbehi, Nona; Wise, Steven G; Hayward, Christopher; Stevens, Michael Charles; Rnjak-Kovacina, Jelena.
Afiliação
  • Vuong TNAM; Graduate School of Biomedical Engineering, University of New South Wales, Sydney, 2052, Australia.
  • Bartolf-Kopp M; Department of Functional Materials in Medicine and Dentistry, Institute of Functional Materials and Biofabrication (IFB), KeyLab Polymers for Medicine of the Bavarian Polymer Institute (BPI), University of Würzburg, Pleicherwall 2, 97070, Würzburg, Germany.
  • Andelovic K; Department of Functional Materials in Medicine and Dentistry, Institute of Functional Materials and Biofabrication (IFB), KeyLab Polymers for Medicine of the Bavarian Polymer Institute (BPI), University of Würzburg, Pleicherwall 2, 97070, Würzburg, Germany.
  • Jungst T; Department of Functional Materials in Medicine and Dentistry, Institute of Functional Materials and Biofabrication (IFB), KeyLab Polymers for Medicine of the Bavarian Polymer Institute (BPI), University of Würzburg, Pleicherwall 2, 97070, Würzburg, Germany.
  • Farbehi N; Department of Orthopedics, Regenerative Medicine Center Utrecht, University Medical Center Utrecht, Utrecht, 3584, Netherlands.
  • Wise SG; Graduate School of Biomedical Engineering, University of New South Wales, Sydney, 2052, Australia.
  • Hayward C; Tyree Institute of Health Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.
  • Stevens MC; Garvan Weizmann Center for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, 2010, Australia.
  • Rnjak-Kovacina J; School of Medical Sciences, University of Sydney, Sydney, NSW, 2006, Australia.
Adv Sci (Weinh) ; 11(26): e2307627, 2024 Jul.
Article em En | MEDLINE | ID: mdl-38704690
ABSTRACT
Atherosclerosis is the primary cause of cardiovascular disease, resulting in mortality, elevated healthcare costs, diminished productivity, and reduced quality of life for individuals and their communities. This is exacerbated by the limited understanding of its underlying causes and limitations in current therapeutic interventions, highlighting the need for sophisticated models of atherosclerosis. This review critically evaluates the computational and biological models of atherosclerosis, focusing on the study of hemodynamics in atherosclerotic coronary arteries. Computational models account for the geometrical complexities and hemodynamics of the blood vessels and stenoses, but they fail to capture the complex biological processes involved in atherosclerosis. Different in vitro and in vivo biological models can capture aspects of the biological complexity of healthy and stenosed vessels, but rarely mimic the human anatomy and physiological hemodynamics, and require significantly more time, cost, and resources. Therefore, emerging strategies are examined that integrate computational and biological models, and the potential of advances in imaging, biofabrication, and machine learning is explored in developing more effective models of atherosclerosis.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aterosclerose / Hemodinâmica Limite: Animals / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aterosclerose / Hemodinâmica Limite: Animals / Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article