Xuebing He, Mingna Sun, Tungalag Battulga, Brent R. Copp, Dilobarkhon Kodirova Rustamovna, Hongyan Li, Sagdullaev Shamansur Shahsaidovich, Janar Jenis, Yuqing Wang, Lu Liang, Jianye Zhang
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Application of Artificial Intelligence in the Development of Traditional Chinese Medicine
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.
期刊介绍：
Basic & Clinical Pharmacology and Toxicology is an independent journal, publishing original scientific research in all fields of toxicology, basic and clinical pharmacology. This includes experimental animal pharmacology and toxicology and molecular (-genetic), biochemical and cellular pharmacology and toxicology. It also includes all aspects of clinical pharmacology: pharmacokinetics, pharmacodynamics, therapeutic drug monitoring, drug/drug interactions, pharmacogenetics/-genomics, pharmacoepidemiology, pharmacovigilance, pharmacoeconomics, randomized controlled clinical trials and rational pharmacotherapy. For all compounds used in the studies, the chemical constitution and composition should be known, also for natural compounds.
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