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健康数字孪生在生命科学和医疗保健创新中的应用。

Health Digital Twins in Life Science and Health Care Innovation.

机构信息

Harvard Medical School, Boston, Massachusetts, USA.

School of Medicine, University of Lisbon, Lisbon, Portugal; email:

出版信息

Annu Rev Pharmacol Toxicol. 2024 Jan 23;64:159-170. doi: 10.1146/annurev-pharmtox-022123-022046. Epub 2023 Aug 10.

Abstract

Health digital twins (HDTs) are virtual representations of real individuals that can be used to simulate human physiology, disease, and drug effects. HDTs can be used to improve drug discovery and development by providing a data-driven approach to inform target selection, drug delivery, and design of clinical trials. HDTs also offer new applications into precision therapies and clinical decision making. The deployment of HDTs at scale could bring a precision approach to public health monitoring and intervention. Next steps include challenges such as addressing socioeconomic barriers and ensuring the representativeness of the technology based on the training and validation data sets. Governance and regulation of HDT technology are still in the early stages.

摘要

健康数字孪生体(HDTs)是真实个体的虚拟表示,可以用于模拟人类生理学、疾病和药物效应。HDTs 可用于改善药物发现和开发,通过提供一种数据驱动的方法来告知目标选择、药物输送和临床试验设计。HDTs 还为精准治疗和临床决策提供了新的应用。HDTs 的大规模部署可以为公共卫生监测和干预带来精准方法。下一步包括解决社会经济障碍和确保技术的代表性等挑战,这些是基于培训和验证数据集的。HDT 技术的治理和监管仍处于早期阶段。

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