Angiogenesis Dynamics: A Computational Model of Intravascular Flow Within a Structural Adaptive Vascular Network
With its strong predictive capability in simulating intravascular flow and its ability to provide both quantitative and qualitative assessments, this research enhances our understanding of angiogenesis by introducing a biologically relevant network that addresses the functional demands of the tissue.
Authors
- Renato Natal Jorge (ORCID: https://orcid.org/0000-0002-7281-579X)
- Ana Guerra (ORCID: https://orcid.org/0000-0003-3979-0874)
- Fernando J. Monteiro (ORCID: https://orcid.org/0000-0002-1361-4605)
- Sheila MacNeil (ORCID: https://orcid.org/0000-0002-9188-5769)
- J. Belinha (ORCID: https://orcid.org/0000-0002-0539-7057)
- Christiane L. Salgado (ORCID: https://orcid.org/0000-0002-3844-1667)
- Naşide Mangır (ORCID: https://orcid.org/0000-0002-3062-6480)
- Sahar Jafari Nivlouei (ORCID: https://orcid.org/0009-0001-5776-0014)
Institutions
- Universidade do Porto (PT)
- Institute of Mechanical Engineering and Industrial Mangement (PT)
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto (PT)
- Instituto Superior de Engenharia do Porto
- Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial
- Hacettepe University (TR)
- Polytechnic Institute of Porto (PT)
- University of Sheffield (GB)
Publication Details
- Journal
- Biomedicines
- Published
- 2024-12-13
- DOI
- https://doi.org/10.3390/biomedicines12122845
- Citations
- 1
- Primary Topic
- Angiogenesis and VEGF in Cancer
- Type
- article
- Field-Weighted Citation Impact
- 0.23
Funders
- Fundação para a Ciência e a Tecnologia