Kerckhoffs Roy C P, Narayan Sanjiv M, Omens Jeffrey H, Mulligan Lawrence J, McCulloch Andrew D
Department of Bioengineering, The Whitaker Institute for Biomedical Engineering, University of California San Diego, La Jolla, CA 92093-0412, USA.
Heart Fail Clin. 2008 Jul;4(3):371-8. doi: 10.1016/j.hfc.2008.02.009.
Advances in computer power, novel diagnostic and therapeutic medical technologies, and an increasing knowledge of pathophysiology from gene to organ systems make it increasingly feasible to apply multiscale patient-specific modeling based on proven disease mechanisms. Such models may guide and predict the response to therapy in many areas of medicine. This is an exciting and relatively new approach, for which efficient methods and computational tools are of the utmost importance. Investigators have designed patient-specific models in almost all areas of human physiology. Not only will these models be useful in clinical settings to predict and optimize the outcome from surgery and non-interventional therapy, but they will also provide pathophysiologic insights from the cellular level to the organ system level. Models, therefore, will provide insight as to why specific interventions succeed or fail.
计算机运算能力的提升、新颖的诊断和治疗医学技术,以及从基因到器官系统的病理生理学知识不断增加,使得基于已证实的疾病机制应用多尺度患者特异性建模变得越来越可行。此类模型可在医学的许多领域指导并预测治疗反应。这是一种令人兴奋且相对较新的方法,高效的方法和计算工具对此至关重要。研究人员已在人体生理学的几乎所有领域设计了患者特异性模型。这些模型不仅将在临床环境中用于预测和优化手术及非介入治疗的结果,还将从细胞水平到器官系统水平提供病理生理学见解。因此,模型将有助于深入了解特定干预措施成功或失败的原因。