Science & Technology Review
|
2024, 42(21): 6-12
• Special to S&T Review •
Intelligent scientific research paradigm promotes the high-quality and efficient development of traditional Chinese medicine
Full
LIU Baoyan1,2
Affiliations
1. Institute of Acupuncture and Moxibustion, China Academy of Chinese Medical Sciences, Beijing 100700, China;
2. Shenzhen Traditional Chinese Medicine Hospital, Shenzhen 518033, China
Published: 2024-11-13
doi: 10.3981/j.issn.1000-7857.2024.11.01615
Outline
The emergence of intelligent research paradigm has begun to have a huge impact and influence on all walks of life.This paper summarizes the understanding and experience of the connotation, nature, characteristics and development trend of scientific research paradigm, introduces five types of scientific research paradigms : experimental paradigm, theoretical paradigm, computer paradigm, data science paradigm and intelligent scientific research paradigm, analyzes the key bottleneck problems in the development of traditional Chinese medicine.It points out that the five major scientific research paradigms, simple and complex paradigm, information science and material science research paradigm, as well as the research ideas and achievements of scientific research paradigm in medical field have provided rich and solid support for the emergence and formation of new paradigm of traditional Chinese medicine.It proposes ideas and methods to promote the high-quality and efficient development of traditional Chinese medicine through paradigm transformation.
paradigm transformation
/
intelligent scientific research paradigm
/
scientific research paradigm of traditional Chinese medicine
LIU Baoyan.
Intelligent scientific research paradigm promotes the high-quality and efficient development of traditional Chinese medicine[J].
Science & Technology Review,
2024
, 42
(21)
: 6
-12
.
DOI: 10.3981/j.issn.1000-7857.2024.11.01615
Year 2024 volume 42 Issue 21
PDF
619
165
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2024.11.01615
- Receive Date:2024-11-01
- Online Date:2024-12-14
- Published:2024-11-13