Medical Physics Group, Cardiovascular Science, University of Sheffield, Sheffield, UK.
Philos Trans A Math Phys Eng Sci. 2010 Jun 28;368(1921):2841-51. doi: 10.1098/rsta.2010.0082.
The virtual physiological human (VPH) initiative encompasses a wide range of activities, including structural and functional imaging, data mining, knowledge discovery tool and database development, biomedical modelling, simulation and visualization. The VPH community is developing from a multitude of relatively focused, but disparate, research endeavours into an integrated effort to bring together, develop and translate emerging technologies for application, from academia to industry and medicine. This process initially builds on the evolution of multi-disciplinary interactions and abilities, but addressing the challenges associated with the implementation of the VPH will require, in the very near future, a translation of quantitative changes into a new quality of highly trained multi-disciplinary personnel. Current strategies for undergraduate and on-the-job training may soon prove insufficient for this. The European Commission seventh framework VPH network of excellence is exploring this emerging need, and is developing a framework of novel training initiatives to address the predicted shortfall in suitably skilled VPH-aware professionals. This paper reports first steps in the implementation of a coherent VPH training portfolio.
虚拟生理人（VPH）计划涵盖了广泛的活动，包括结构和功能成像、数据挖掘、知识发现工具和数据库开发、生物医学建模、模拟和可视化。VPH 社区正在从众多相对集中但分散的研究工作中发展成为一项综合努力，将新兴技术从学术界到工业界和医学界汇集、开发和转化为应用。这一过程最初建立在多学科互动和能力的发展基础上，但要应对与 VPH 实施相关的挑战，在不久的将来，需要将定量变化转化为高度训练有素的多学科人才的新质量。目前的本科和在职培训策略可能很快就不足以满足这一需求。欧盟第七框架 VPH 卓越网络正在探索这一新兴需求，并正在制定一套新的培训计划框架，以应对 VPH 意识专业人员技能短缺的预测。本文报告了实施连贯的 VPH 培训组合的第一步。
