WORLD SCI-TECH R&D ›› 2024, Vol. 46 ›› Issue (6): 792-813. doi: 10.16507/j.issn.1006-6055.2024.09.004 cstr: 32308.14.1006-6055.2024.09.004

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Review on Status and Challenges of Digital Medicine Research

TIAN Qianfei1,2 CHEN Yunwei1,2 HUANG Xiaorong1 YANG Shengli3,4   

  1. 1. National Science Library (Chengdu), Chinese Academy of Sciences; 2. Department of Information Resources Management, School of Economics and Management, Chinese Academy of Sciences; 3. Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences; 4. Shanghai Center for Systems Biomedicine
  • Online:2025-01-03 Published:2025-01-03

Abstract: This paper expounds the progress and breakthroughs of digital biology and digital medicine on the basis of combing the development process of “molecular medicine-systems medicine-digital medicine”, profiles strategic deployment of international digital medicine and the construction of representative smart hospitals, and focuses on the role of emerging information technologies such as artificial intelligence and big data in promoting major progress in the medical field. For example, protein structure prediction, human missense mutation discovery, the promotion of the research and development of organoids and organ-on-chips, enhancing cancer tumor diagnosis and clinical surgery, promoting the development of traditional Chinese medicine. This paper discusses and looks forward to the challenges and development prospects of digital medicine, and puts forward suggestions for the development of this field in China: 1) give full play to the key role of interdisciplinary science and emerging information technology, and promote the integration of cutting-edge technology and health field; 2) pay attention to data supervision to ensure the standardized development of digital biology and digital medicine; 3) promote data standardization and database construction to promote the development of digital therapeutics; 4) strengthen the cultivation of compound talents in the field of digital medicine, and pay attention to the complementary role of multiple education methods in talent training; 5) promote the development of the digital medical industry and promote the clinical implementation of digital medicine.

Key words: Digital Medicine, Big Data, Artificial Intelligence, Organoids, Data Governance