Обзорная статья

Application of Artificial Intelligence in the Development of Traditional Chinese Medicine

Xuebing HeThe Fifth Affiliated Hospital, Guangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology, the NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences Guangzhou Medical University Guangzhou ChinaMingna SunThe Affiliated Traditional Chinese Medicine Hospital Guangzhou Medical University Guangzhou ChinaTungalag BattulgaSchool of Pharmacy Mongolian National University of Medical Sciences Ulaanbaatar MongoliaBrent R. CoppSchool of Chemical Sciences The University of Auckland Auckland New ZealandDilobarkhon Kodirova RustamovnaInstitute of the Chemistry of Plant Substances of Academy of Science Tashkent Republic of UzbekistanHongyan LiMinistry of Education Engineering Research Center of Tibetan Medicine Detection Technology Xizang Minzu University Xianyang ChinaSagdullaev Shamansur ShahsaidovichInstitute of the Chemistry of Plant Substances of Academy of Science Tashkent Republic of UzbekistanJanar JenisResearch Center for Medicinal Plants Al‐Farabi Kazakh National University Almaty KazakhstanYu-Qing WangThe Affiliated Traditional Chinese Medicine Hospital Guangzhou Medical University Guangzhou ChinaLu LiangThe Fifth Affiliated Hospital, Guangzhou Municipal and Guangdong Provincial Key Laboratory of Molecular Target & Clinical Pharmacology, the NMPA and State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences Guangzhou Medical University Guangzhou ChinaJianye ZhangThe Affiliated Qingyuan Hospital (Qingyuan People's Hospital) Guangzhou Medical University Qingyuan China

Basic & Clinical Pharmacology & Toxicologyjournal2025en

ABI

Аннотация

Traditional Chinese medicine (TCM) has long been recognized for its mild therapeutic effects, significant efficacy and minimal adverse reactions. However, challenges such as reliance on human expertise in TCM production and quality control, unclear compositions and usage of TCM and ambiguous targets hinder its sustainable development. The emergence of artificial intelligence (AI) provides transformative potential for addressing these limitations. Recent studies have demonstrated that AI promotes the intelligent industrialization of TCM, ensures effective TCM quality, assists in the discovery of TCM targets and recommends scientifically formulated TCM prescriptions. This review consolidates and evaluates recent progress in applying AI to TCM, with a focus on pharmaceutical development, quality control and research innovation. By providing a detailed and systematic overview, this review aims to highlight the role of AI in advancing the scientific and sustainable evolution of TCM.

Перевод пока недоступен

Темы

Traditional Chinese Medicine Studies

Идентификаторы

DOI: 10.1111/bcpt.70066

Цитирования и источники

Цитирований: 0Использованных источников: 51

Показатели — AkademScholar