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生物系统的数字孪生:一篇综述

Digital Twins of Biological Systems: A Narrative Review.

作者信息

Alsalloum Ghufran A, Al Sawaftah Nour M, Percival Kelly M, Husseini Ghaleb A

机构信息

Department of Biosciences and Bioengineering, College of EngineeringAmerican University of Sharjah Sharjah 26666 UAE.

Department of Material Science and Engineering, College of EngineeringAmerican University of Sharjah Sharjah 26666 UAE.

出版信息

IEEE Open J Eng Med Biol. 2024 Jul 12;5:670-677. doi: 10.1109/OJEMB.2024.3426916. eCollection 2024.

Abstract

The concept of Digital Twins (DTs), software models that mimic the behavior and interactions of physical or conceptual objects within their environments, has gained traction in recent years, particularly in medicine and healthcare research. DTs technology emerges as a pivotal tool in disease modeling, integrating diverse data sources to computationally model dynamic biological systems. This narrative review explores potential DT applications in medicine, from defining DTs and their history to constructing DTs, modeling biologically relevant systems, as well as discussing the benefits, risks, and challenges in their application. The influence of DTs extends beyond healthcare and can revolutionize healthcare management, drug development, clinical trials, and various biomedical research fields.

摘要

数字孪生(DTs)的概念,即模仿物理或概念对象在其环境中的行为和交互的软件模型,近年来越来越受到关注,尤其是在医学和医疗保健研究领域。DTs技术作为疾病建模中的关键工具出现,整合各种数据源以对动态生物系统进行计算建模。这篇叙述性综述探讨了DTs在医学中的潜在应用,从定义DTs及其历史到构建DTs、对生物相关系统进行建模,以及讨论其应用中的益处、风险和挑战。DTs的影响不仅限于医疗保健领域,还可以彻底改变医疗管理、药物开发、临床试验以及各种生物医学研究领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5639/11342927/7eafc41c378e/husse1-3426916.jpg

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