Computational modelling of the fetal circulation: what could cardiovascular system models teach us about the

Nipuni D Nagahawatte1, Anandita Umapathy2, Joanna L James3

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

PubMed

Insights

Computational modeling can improve understanding of fetal heart development and function. This approach addresses limitations in current diagnostic tools, potentially enhancing early detection and lifelong health outcomes for cardiovascular conditions.

Area of Science:

  • Cardiovascular Physiology
  • Computational Biology
  • Developmental Biology

Background:

  • Fetal cardiovascular development is crucial for long-term health.
  • Congenital heart defects and placental dysfunction increase later-life disease risk.
  • Current diagnostic tools for fetal cardiac dysfunction are limited.

Purpose of the Study:

  • To review computational models of the fetal heart and circulation.
  • To analyze how these models represent fetal physiology and developmental adaptations.
  • To identify needs for fetal-specific refinements in cardiovascular modeling.

Main Methods:

  • Literature review of computational models in fetal cardiovascular research.
  • Analysis of existing models' adaptation from adult cardiovascular frameworks.
  • Focus on biomechanical interactions between the fetal heart and placenta.

Main Results:

  • Existing models often adapt adult frameworks, not fully capturing fetal specifics like shunts and placental resistance.
  • There's a need to differentiate and refine models for fetal cardiovascular dynamics.
  • Computational models offer a framework to integrate knowledge and generate insights into fetal cardiovascular evolution.

Conclusions:

  • Advanced computational models are needed to accurately represent fetal cardiovascular physiology.
  • Improved modeling can enhance early detection and management of fetal cardiac dysfunction.
  • This can lead to better lifelong cardiovascular health outcomes.

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