Health Digital Twins in Life Science and Health Care Innovation

被引:30
作者
Venkatesh, Kaushik P. [1 ]
Brito, Gabriel [1 ]
Boulos, Maged N. Kamel [2 ]
机构
[1] Harvard Med Sch, Boston, MA 02115 USA
[2] Univ Lisbon, Sch Med, Lisbon, Portugal
关键词
artificial intelligence; health digital twins; drug discovery; precision medicine; personalized medicine; precision public health; FRAMEWORK; MEDICINE; SUCCESS;
D O I
10.1146/annurev-pharmtox-022123-022046
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
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 ofHDTs 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.
引用
收藏
页码:159 / 170
页数:12
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