Digital Twins: From Personalised Medicine to Precision Public Health.
Digital Twins: From Personalised Medicine to Precision Public Health.
复制标题
数字双胞胎：从个性化医疗到精准公共卫生。
DOI：
10.3390/jpm11080745
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发表时间：
2021-07-29
影响因子：
--
通讯作者：
Zhang P
中科院分区：
文献类型：
--
作者：
Kamel Boulos MN;Zhang P
数字孪生是物理实体的虚拟模型，物理实体与数字域中对应的孪生之间具有动态的双向链接。如今，数字孪生越来越多地用于不同的行业领域。应用于医学和公共卫生，数字孪生技术可以推动传统电子健康/医疗记录（专注于个人）及其聚合（覆盖人群）的迫切需要的根本性变革，使其为精确（和准确性）医学和公共卫生的新时代做好准备。数字双胞胎使学习和发现新知识，新的假设生成和测试，以及计算机实验和比较成为可能。他们准备在未来制定高度个性化的治疗和干预措施方面发挥关键作用。本文概述了该技术的历史和主要概念。本文介绍了数字双胞胎在个性化医疗、公共卫生和智能健康城市方面的一些应用实例，然后简要讨论了此类应用所涉及的关键技术和其他挑战，包括将数字双胞胎应用于模拟人类时出现的伦理问题。
A digital twin is a virtual model of a physical entity, with dynamic, bi-directional links between the physical entity and its corresponding twin in the digital domain. Digital twins are increasingly used today in different industry sectors. Applied to medicine and public health, digital twin technology can drive a much-needed radical transformation of traditional electronic health/medical records (focusing on individuals) and their aggregates (covering populations) to make them ready for a new era of precision (and accuracy) medicine and public health. Digital twins enable learning and discovering new knowledge, new hypothesis generation and testing, and in silico experiments and comparisons. They are poised to play a key role in formulating highly personalised treatments and interventions in the future. This paper provides an overview of the technology’s history and main concepts. A number of application examples of digital twins for personalised medicine, public health, and smart healthy cities are presented, followed by a brief discussion of the key technical and other challenges involved in such applications, including ethical issues that arise when digital twins are applied to model humans.
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