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. 2024 Jun 21:15:1426300.
doi: 10.3389/fphar.2024.1426300. eCollection 2024.

Possible opportunities and challenges for traditional Chinese medicine research in 2035

Nanqu Huang  1 , Wendi Huang  1 , Jingjing Wu  1 , Sheng Long  2 , Yong Luo  1 , Juan Huang  3
Affiliations

Possible opportunities and challenges for traditional Chinese medicine research in 2035

Nanqu Huang et al. Front Pharmacol. .

Abstract

The drug development process is poised for significant transformation due to the rapid advancement of modern biological and information technologies, such as artificial intelligence (AI). As these new technologies and concepts infiltrate every stage of drug development, the efficiency and success rate of research and development are expected to improve substantially. Traditional Chinese medicine (TCM), a time-honored therapeutic system encompassing herbal medicine, acupuncture, and qigong, will also be profoundly impacted by these advancements. Over the next decade, Traditional Chinese medicine research will encounter both opportunities and challenges as it integrates with modern technologies and concepts. By 2035, TCM is anticipated to merge with modern medicine through a more contemporary and open research and development model, providing substantial support for treating a broader spectrum of diseases.

Keywords: artificial intelligence; complementary medicine; modern medicine; prediction; traditional Chinese medicine.

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Conflict of interest statement

Author SL was employed by Jiangsu Hoperun Software Co., Ltd. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
Possible opportunities and challenges for TCM research in 2035.
FIGURE 2
FIGURE 2
Use a large language model to ask questions: Possible opportunities and challenges for TCM research in 2035 (Table 1). And simplify the generated responses into word clouds based on keywords (Supplementary Material S2).
See this image and copyright information in PMC

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References

    1. Abramson J., Adler J., Dunger J., Evans R., Green T., Pritzel A., et al. (2024). Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature. 10.1038/s41586-024-07487-w - DOI - PMC - PubMed
    1. Andrews N., Stowe J., Kirsebom F., Toffa S., Sachdeva R., Gower C., et al. (2022). Effectiveness of COVID-19 booster vaccines against COVID-19-related symptoms, hospitalization and death in England. Nat. Med. 28 (4), 831–837. 10.1038/s41591-022-01699-1 - DOI - PMC - PubMed
    1. Baum Z. J., Yu X., Ayala P. Y., Zhao Y., Watkins S. P., Zhou Q. (2021). Artificial intelligence in chemistry: current trends and future directions. J. Chem. Inf. Model 61 (7), 3197–3212. 10.1021/acs.jcim.1c00619 - DOI - PubMed
    1. Cao K., Xia Y., Yao J., Han X., Lambert L., Zhang T., et al. (2023). Large-scale pancreatic cancer detection via non-contrast CT and deep learning. Nat. Med. 29 (12), 3033–3043. 10.1038/s41591-023-02640-w - DOI - PMC - PubMed
    1. Chen C. C., Chen Y. N., Liou J. M., Wu M. S. Taiwan Gastrointestinal Disease and Helicobacter Consortium (2019). From germ theory to germ therapy. Kaohsiung J. Med. Sci. 35 (2), 73–82. 10.1002/kjm2.12011 - DOI - PubMed

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This work was supported by the National Natural Science Foundation of China (82260774), the Science and Technology Department of Guizhou Province (ZK [2021]-570, Thousand-level innovative talents in Guizhou Province), Zunyi Science and Technology Bureau (scientific and technological innovation talent team project of the Zunyi [2022]2).