Development and application of artificial intelligence in traditional Chinese medicine research and development
AI has transformative potential in TCM development, addressing key challenges across various stages. In drug design, AI accelerates the identification of active compounds, optimizes formula composition, and models pharmacodynamic relationships to enhance innovation efficiency and precision. During pharmaceutical manufacturing, AI contributes to process optimization, quality control, and the standardization of TCM products, ensuring stable and scalable production. For market access, although no TCM developed by AI has entered the clinic, AI has played a role in comprehensive safety and efficacy assessments and simplified regulatory compliance in other drugs. By leveraging these advances and reviewing limitations, AI promotes the need to develop more integrated, more efficient, and more utilized methods in TCM R&D.
Authors
- Yuanjia Hu
- Qiaoxian Luo
- Anxin Wang
- Hua Luo
- Xuebo Peng
- Xiaotian Tan
- Yixin Yao
Institutions
- Foshan University (CN)
- Guangxi University (CN)
- University of Macau (MO)
- Ji Hua Laboratory (CN)
- Integrated Chinese Medicine (China) (HK)
- Foshan Hospital of TCM (CN)
- Guangdong Provincial Hospital of Traditional Chinese Medicine (CN)
- Guangxi University of Chinese Medicine (CN)
- City University of Macau (MO)
Publication Details
- Journal
- Chinese Medicine
- Published
- 2026-01-08
- DOI
- https://doi.org/10.1186/s13020-025-01288-7
- Citations
- 1
- Primary Topic
- Traditional Chinese Medicine Studies
- Type
- article
- Field-Weighted Citation Impact
- 51.14
Funders
- Universidade de Macau