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This review discusses the integration of artificial intelligence (AI) in Traditional Chinese Medicine (TCM) for multi-metabolite and multi-target interaction modeling, highlighting its potential to enhance precision medicine. It emphasizes the advantages of AI in analyzing complex interactions and addresses challenges such as data heterogeneity and model interpretability. The study advocates for further optimization of AI algorithms to improve the reliability and scalability of TCM target prediction.

Author

Mariana

Language

EN