The integration of machine learning into traditional Chinese medicine.

Author: Yanfeng HONG ¹ ; Sisi ZHU ¹ ; Yuhong LIU ¹ ; Chao TIAN ¹ ; Hongquan XU ¹ ; Gongxing CHEN ¹ ; Lin TAO ¹ ; Tian XIE ¹
Author Information

1. School of Pharmacy, Hangzhou Normal University, Hangzhou, 311121, China.
Publication Type:Review
Keywords: Drug development; Machine learning; Precision medicine; Quality control; Traditional Chinese medicine
From: Journal of Pharmaceutical Analysis 2025;15(8):101157-101157
CountryChina
Language:English
Abstract: Traditional Chinese medicine (TCM) is an ancient medical system distinctive and effective in treating cancer, depression, coronavirus disease 2019 (COVID-19), and other diseases. However, the relatively abstract diagnostic methods of TCM lack objective measurement, and the complex mechanisms of action are difficult to comprehend, which hinders the application and internationalization of TCM. Recently, while breakthroughs have been made in utilizing methods such as network pharmacology and virtual screening for TCM research, the rise of machine learning (ML) has significantly enhanced their integration with TCM. This article introduces representative methodological cases in quality control, mechanism research, diagnosis, and treatment processes of TCM, revealing the potential applications of ML technology in TCM. Furthermore, the challenges faced by ML in TCM applications are summarized, and future directions are discussed.