Hunter P, de Bono B, Brooks D, Christie R, Hussan J, Lin M, Nickerson D
IEEE Rev Biomed Eng. 2025;18:300-315. doi: 10.1109/RBME.2024.3490455. Epub 2025 Jan 28.
Interest in the concept of a virtual human model that can encompass human physiology and anatomy on a biophysical (mechanistic) basis, and can assist with the clinical diagnosis and treatment of disease, appears to be growing rapidly around the globe. When such models are personalised and coupled with continual diagnostic measurements, they are called 'digital twins'. We argue here that the most useful form of virtual human model will be one that is constrained by the laws of physics, contains a comprehensive knowledge graph of all human physiology and anatomy, is multiscale in the sense of linking systems physiology down to protein function, and can to some extent be personalized and linked directly with clinical records. We discuss current progress from the IUPS Physiome Project and the requirements for a framework to achieve such a model.
对虚拟人体模型概念的兴趣在全球范围内似乎正在迅速增长，这种模型能够在生物物理（机制）基础上涵盖人体生理学和解剖学，并有助于疾病的临床诊断和治疗。当这些模型实现个性化并与持续的诊断测量相结合时，它们就被称为“数字孪生”。我们在此认为，最有用的虚拟人体模型形式将是一种受物理定律约束的模型，它包含所有人体生理学和解剖学的全面知识图谱，在将系统生理学与蛋白质功能联系起来的意义上是多尺度的，并且在一定程度上可以个性化并直接与临床记录相链接。我们讨论了国际生理科学联合会（IUPS）生理组计划的当前进展以及实现这种模型的框架要求。
