Computational models for generating microvascular structures: Investigations beyond medical imaging resolution.

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dc.contributor.author Apeldoorn, Cameron
dc.contributor.author Safaei, Soroush
dc.contributor.author Paton, Julian
dc.contributor.author Maso Talou, Gonzalo D
dc.coverage.spatial United States
dc.date.accessioned 2023-08-02T03:29:56Z
dc.date.available 2023-08-02T03:29:56Z
dc.date.issued 2023-01
dc.identifier.citation (2023). Wiley Interdisciplinary Reviews: Developmental Biology, 15(1), e1579-.
dc.identifier.issn 2692-9368
dc.identifier.uri https://hdl.handle.net/2292/65198
dc.description.abstract Angiogenesis, arteriogenesis, and pruning are revascularization processes essential to our natural vascular development and adaptation, as well as central players in the onset and development of pathologies such as tumoral growth and stroke recovery. Computational modeling allows for repeatable experimentation and exploration of these complex biological processes. In this review, we provide an introduction to the biological understanding of the vascular adaptation processes of sprouting angiogenesis, intussusceptive angiogenesis, anastomosis, pruning, and arteriogenesis, discussing some of the more significant contributions made to the computational modeling of these processes. Each computational model represents a theoretical framework for how biology functions, and with rises in computing power and study of the problem these frameworks become more accurate and complete. We highlight physiological, pathological, and technological applications that can be benefit from the advances performed by these models, and we also identify which elements of the biology are underexplored in the current state-of-the-art computational models. This article is categorized under: Cancer > Computational Models Cardiovascular Diseases > Computational Models.
dc.format.medium Print-Electronic
dc.language eng
dc.publisher Wiley
dc.relation.ispartofseries WIREs mechanisms of disease
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher.
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.subject Diagnostic Imaging
dc.subject Radiography
dc.subject Neovascularization, Physiologic
dc.subject Computer Simulation
dc.subject angiogenesis
dc.subject arteriogenesis
dc.subject cancer
dc.subject computational model
dc.subject pruning
dc.subject Networking and Information Technology R&D (NITRD)
dc.subject 1.1 Normal biological development and functioning
dc.subject 1 Underpinning research
dc.subject Cardiovascular
dc.subject 0601 Biochemistry and Cell Biology
dc.subject 0603 Evolutionary Biology
dc.subject 0607 Plant Biology
dc.title Computational models for generating microvascular structures: Investigations beyond medical imaging resolution.
dc.type Journal Article
dc.identifier.doi 10.1002/wsbm.1579
pubs.issue 1
pubs.begin-page e1579
pubs.volume 15
dc.date.updated 2023-07-14T13:27:51Z
dc.rights.holder Copyright: The authors en
dc.identifier.pmid 35880683 (pubmed)
pubs.author-url https://www.ncbi.nlm.nih.gov/pubmed/35880683
pubs.publication-status Published
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Research Support, Non-U.S. Gov't
pubs.subtype review-article
pubs.subtype Review
pubs.subtype Journal Article
pubs.elements-id 913117
pubs.org-id Bioengineering Institute
pubs.org-id Medical and Health Sciences
pubs.org-id Medical Sciences
pubs.org-id Physiology Division
dc.identifier.eissn 2692-9368
pubs.record-created-at-source-date 2023-07-15
pubs.online-publication-date 2022-07-26


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