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Vision01:24

Vision

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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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A vision and strategy for the virtual physiological human: 2012 update.

Peter Hunter1, Tara Chapman2, Peter V Coveney3

  • 1Department of Physiology, Anatomy and Genetics , University of Oxford , Oxford , UK ; Auckland Bioengineering Institute (ABI) , University of Auckland , New Zealand.

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|January 16, 2014
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Summary

The Virtual Physiological Human (VPH) project advances biomedical science and healthcare through common standards and open-source tools. This initiative fosters innovation and addresses challenges for industry, clinics, and society.

Keywords:
computational physiologymultiscale modellingphysiomesystems biologyvirtual physiological human

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Area of Science:

  • Computational biology and bioinformatics
  • Biomedical engineering
  • Health informatics

Background:

  • European funding through Framework 7 (FP7) has supported the Virtual Physiological Human (VPH) project for five years.
  • The VPH Network of Excellence (NoE) aims to establish standards, open-source software, and data repositories.
  • Previous assessments (Hunter et al., 2010) highlighted VPH challenges and proposed the VPH Institute for long-term vision sustainability.

Purpose of the Study:

  • To provide an updated assessment of the VPH project's progress and vision.
  • To address biomedical science, healthcare, and ICT challenges and identify innovation opportunities for European industry.
  • To examine necessary regulatory policy and business model changes for VPH realization.

Main Methods:

  • Review and synthesis of progress within the VPH project.
  • Analysis of challenges and opportunities in biomedical science, healthcare, and ICT.
  • Evaluation of external factors including regulatory policy and business models.

Main Results:

  • Progress in developing common standards, open-source software, and data repositories.
  • Identification of key challenges and innovation avenues for European industry within VPH.
  • Analysis of the need for regulatory and business model evolution to maximize VPH impact.

Conclusions:

  • The VPH initiative requires updated vision, addressing scientific and healthcare challenges with industry innovation.
  • Sustained progress necessitates adaptation in regulatory frameworks and business models.
  • The VPH has significant potential to benefit industry, clinical practice, and society.