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Toward a VPH/Physiome ToolKit.

Alan Garny1, Jonathan Cooper2, Peter J Hunter3

  • 1Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, UK.

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Summary
This summary is machine-generated.

The Physiome Project and Virtual Physiological Human (VPH) Initiative aim to create computational models of the human body. This overview discusses available resources and challenges for developing an integrated VPH/Physiome ToolKit.

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Area of Science:

  • Computational biology
  • Physiology
  • Biomedical engineering

Background:

  • The Physiome Project, launched in 1997, aims to develop a computational framework for human body modeling.
  • The European Virtual Physiological Human (VPH) Initiative focuses on patient-specific computational solutions.
  • Multiscale and multiphysics modeling requires collaboration for integrative and predictive capabilities.

Purpose of the Study:

  • To provide an overview of resources for the VPH/Physiome ToolKit.
  • To identify and discuss challenges in developing the ToolKit.
  • To support the creation of quantitative, integrative, and predictive computational models.

Main Methods:

  • Review and synthesis of existing technologies and solutions.
  • Identification of resources for data handling, markup languages, model repositories, ontologies, and tools (simulation, imaging, data fitting).
  • Consideration of grid, middleware, and workflow technologies.

Main Results:

  • Numerous technologies and solutions are available from VPH/Physiome groups and external contributors.
  • Key areas for the ToolKit include data management, modeling standards, and computational infrastructure.
  • Challenges remain in integrating these diverse resources into a cohesive framework.

Conclusions:

  • A comprehensive VPH/Physiome ToolKit is essential for advancing computational human body modeling.
  • Collaboration and strategic resource integration are crucial for overcoming current challenges.
  • Continued development is needed to achieve fully integrative and predictive physiological models.