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Multiscale modeling methods in biomechanics.

Pinaki Bhattacharya1, Marco Viceconti1

  • 1Department of Mechanical Engineering and INSIGNEO Institute for in silico Medicine, University of Sheffield, Sheffield, UK.

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Summary
This summary is machine-generated.

Multiscale modeling in biomechanics uses multiple space-time continua to represent complex phenomena across different scales. This review categorizes research by modeling intent, focusing on causal confirmation, predictive accuracy, and effect determination.

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Area of Science:

  • Computational biomechanics
  • Systems biology
  • Multiscale modeling

Background:

  • Modeling complex biological systems often requires integrating phenomena across vastly different spatial and temporal scales.
  • Traditional single continuum models are insufficient for phenomena spanning wide ranges of dimensions.
  • Multiscale modeling addresses this by using multiple space-time continua, linking information across scales.

Purpose of the Study:

  • To define the emerging field of multiscale modeling in biomechanics.
  • To review recent developments and categorize research based on modeling intent.
  • To provide a framework for understanding multiscale approaches in biomechanical research.

Main Methods:

  • Systematic review of computational biomechanics literature.
  • Categorization of studies based on three modeling intents: causal confirmation, predictive accuracy, and determination of effect.
  • Focus on musculoskeletal and cardiovascular systems, with exemplary coverage of other organ systems.

Main Results:

  • Multiscale modeling is an emerging research subdomain.
  • Causal confirmation is the most prevalent modeling intent in current biomechanics research.
  • The review categorizes studies by their approach to integrating information across scales.

Conclusions:

  • Multiscale modeling is crucial for understanding complex biological systems.
  • The field is still developing, with a strong emphasis on validating theories.
  • Further research is needed to advance predictive accuracy and effect determination in biomechanics.