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Physiological Modeling and Simulation-Validation, Credibility, and Application.

W Andrew Pruett1, John S Clemmer1, Robert L Hester1,2

  • 1Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi 39216, USA; email: wpruett@umc.edu, jclemmer@umc.edu, rhester@umc.edu.

Annual Review of Biomedical Engineering
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PubMed
Summary
This summary is machine-generated.

Model validation in physiological modeling lacks clear standards, impacting its clinical and regulatory use. This review explores how other fields accept models and proposes solutions for physiological model credibility.

Keywords:
credibilityphysiological modelingsimulationvalidation

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Area of Science:

  • Physiological modeling
  • Computational biology
  • Biomedical engineering

Background:

  • Widespread disagreement exists regarding the definition and criteria for physiological model validity.
  • Ambiguity in model validation hinders the reliable application of models in critical decision-making processes.
  • Lack of clear validation standards impacts model credibility and usefulness in clinical, regulatory, and therapeutic design contexts.

Purpose of the Study:

  • To critically examine the science of model validation specifically within physiological modeling.
  • To investigate how models are used and accepted in other scientific and engineering domains.
  • To review historical approaches to physiological model presentation and explore proposed validation frameworks.

Main Methods:

  • Review of literature on model validation across different scientific and engineering disciplines.
  • Analysis of historical physiological models and their communication to the scientific community.
  • Examination of contemporary validation frameworks proposed for physiological models.

Main Results:

  • Cross-disciplinary comparison reveals diverse approaches to model acceptance and validation.
  • Historical physiological models often lacked explicit validation criteria.
  • Several validation frameworks have been proposed recently, but consensus remains elusive.

Conclusions:

  • Establishing clear, standardized model validation practices is crucial for advancing physiological modeling.
  • Adopting principles from other fields may offer pathways to enhance model credibility.
  • Further development and consensus on validation frameworks are needed to ensure reliable use of physiological models.