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CHEN Yafei, LIU Qiong, GUAN Shuang, YU Yanan, LIU Jun, WANG Sicun, WANG Zhong. The Method and Application of Digital Twinning in Medicine[J]. Medical Journal of Peking Union Medical College Hospital. doi: 10.12290/xhyxzz.2023-0157
Citation: CHEN Yafei, LIU Qiong, GUAN Shuang, YU Yanan, LIU Jun, WANG Sicun, WANG Zhong. The Method and Application of Digital Twinning in Medicine[J]. Medical Journal of Peking Union Medical College Hospital. doi: 10.12290/xhyxzz.2023-0157

The Method and Application of Digital Twinning in Medicine

doi: 10.12290/xhyxzz.2023-0157

China Academy of Chinese Medical Sciences Innovation fund (CI2021A04707)

  • Received Date: 2023-03-28
    Available Online: 2023-09-18
  • With the rapid development of emerging biotechnologies such as high-throughput sequencing, multi-omics and multi-dimensional research models for biological big data have been initiated. Concurrently, the fast-evolving technologies such as mathematical modeling, artificial intelligence, cloud computing, blockchain, big data, the Internet of Things, and 5G have enabled the possibility of developing digital twin. Digital twin is a model mapping of physical objects, processes, and systems in digital space, which has shown great potential in the medical field. On the one hand, digital twin technology can provide visualized 3D structures for human organs and systems to assist diagnosis and treatment. On the other hand, it provides a tangible "skeleton" for data mining in genomics, metabolomics, and phenomics, and can simulate processes for chronic disease management, drug development, and clinical trials, thereby advancing the medical field. This article reviewed the methods and applications of digital twin in the medical field, aiming to provide reference for the development of medical digital twin research in China.
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