Modernization Research of Traditional Chinese Medicine Compound Prescriptions Driven by Artificial Intelligence: From Intelligent Design and Mechanism Prediction to Precise Application.

This article provides a comprehensive review of the advancements in the application of artificial intelligence (AI) technology in the modernization of traditional Chinese medicine (TCM) compound prescriptions, and emphasizes recent research developments, including intelligent design, prediction of mechanisms of action, and precise application of TCM compound prescriptions. The integration of multi-omies data, deep learning algorithms, and knowledge graph technologies has established novel technical avenues for the modernization research of TCM. This study systematically analyzes the advantages and challenges associated with Al technologies in the research of TCM compound prescriptions, highlighting issues such as data heterogeneity, limited interpretability of Al models, and the absence of standardized procedures. Furthermore, this article examines the prospective developmental trajectories within this field, highlighting the importance of synergistic collaboration between Al and traditional pharmacology to improve the clinical applicability and effectiveness of TCM. The objective is to offer valuable insights into the modernization of TCM driven by Al and to stimulate further research in this area. [ABSTRACT FROM AUTHOR]