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

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  • 1Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.

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|July 26, 2022
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Summary

Computational modeling aids the study of vascular development and disease. This review explores computational models of angiogenesis, arteriogenesis, and pruning, highlighting applications and future research directions.

Keywords:
angiogenesisarteriogenesiscancercomputational modelpruning

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Area of Science:

  • Biomedical Engineering
  • Computational Biology
  • Vascular Biology

Background:

  • Angiogenesis, arteriogenesis, and pruning are critical revascularization processes.
  • These processes are vital for natural vascular development and adaptation.
  • They also play key roles in pathologies like tumoral growth and stroke recovery.

Purpose of the Study:

  • To review the biological understanding of vascular adaptation processes.
  • To discuss significant contributions to the computational modeling of these processes.
  • To highlight applications and identify underexplored areas in current models.

Main Methods:

  • Review of biological mechanisms of sprouting angiogenesis, intussusceptive angiogenesis, anastomosis, pruning, and arteriogenesis.
  • Analysis of existing computational models for these processes.
  • Identification of physiological, pathological, and technological applications.

Main Results:

  • Computational models offer repeatable experimentation for complex biological processes.
  • Advances in computing power enhance the accuracy and completeness of these models.
  • Current models have diverse applications but leave some biological elements underexplored.

Conclusions:

  • Computational modeling is a powerful tool for understanding vascular dynamics.
  • Further research is needed to refine models and explore underexplored biological aspects.
  • These models have significant potential in cancer and cardiovascular disease research.