The Physiome Project and Digital Twins.

IF 17.2 1区 工程技术 Q1 ENGINEERING, BIOMEDICAL IEEE Reviews in Biomedical Engineering Pub Date : 2024-11-06 DOI:10.1109/RBME.2024.3490455
P Hunter, B de Bono, D Brooks, R Christie, J Hussan, M Lin, D Nickerson
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Abstract

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.

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生理组计划和数字双胞胎。
虚拟人体模型可以在生物物理(机理)的基础上涵盖人体生理和解剖,并能帮助临床诊断和治疗疾病,这一概念在全球范围内似乎正在迅速发展。当这种模型被个性化并与持续诊断测量相结合时,它们就被称为 "数字双胞胎"。我们在此认为,最有用的虚拟人体模型将是一种受物理定律约束的模型,它包含所有人体生理和解剖学的综合知识图谱,是多尺度的,可以将系统生理学与蛋白质功能联系起来,并能在一定程度上实现个性化,与临床记录直接联系起来。我们将讨论国际大学物理学会生理组项目目前取得的进展,以及建立这样一个模型的框架所需的条件。
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来源期刊
IEEE Reviews in Biomedical Engineering
IEEE Reviews in Biomedical Engineering Engineering-Biomedical Engineering
CiteScore
31.70
自引率
0.60%
发文量
93
期刊介绍: IEEE Reviews in Biomedical Engineering (RBME) serves as a platform to review the state-of-the-art and trends in the interdisciplinary field of biomedical engineering, which encompasses engineering, life sciences, and medicine. The journal aims to consolidate research and reviews for members of all IEEE societies interested in biomedical engineering. Recognizing the demand for comprehensive reviews among authors of various IEEE journals, RBME addresses this need by receiving, reviewing, and publishing scholarly works under one umbrella. It covers a broad spectrum, from historical to modern developments in biomedical engineering and the integration of technologies from various IEEE societies into the life sciences and medicine.
期刊最新文献
Foundation Model for Advancing Healthcare: Challenges, Opportunities and Future Directions. A Manual for Genome and Transcriptome Engineering. Artificial General Intelligence for Medical Imaging Analysis. A Survey of Few-Shot Learning for Biomedical Time Series. The Physiome Project and Digital Twins.
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