首页|Systems Theory-Driven Framework for AI Integration into the Holistic Material Basis Research of Traditional Chinese Medicine
Systems Theory-Driven Framework for AI Integration into the Holistic Material Basis Research of Traditional Chinese Medicine
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This paper introduces a systems theory-driven framework to integration artificial intelligence(AI)into traditional Chinese medicine(TCM)research,enhancing the understanding of TCM's holistic material basis while adhering to evidence-based principles.Utilizing the System Function Decoding Model(SFDM),the research progresses through define,quantify,infer,and validate phases to systematically explore TCM's material basis.It employs a dual analytical approach that combines top-down,systems theory-guided perspectives with bottom-up,elements-structure-function methodologies,provides com-prehensive insights into TCM's holistic material basis.Moreover,the research examines AI's role in quan-titative assessment and predictive analysis of TCM's material components,proposing two specific AI-driven technical applications.This interdisciplinary effort underscores AI's potential to enhance our understanding of TCM's holistic material basis and establishes a foundation for future research at the intersection of traditional wisdom and modern technology.
Artificial intelligenceSystems theoryTraditional Chinese medicineMaterial basisBottom-up
Jingqi Zeng、Xiaobin Jia
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School of Traditional Chinese Pharmacy,China Pharmaceutical University,Nanjing 211198,China
State Key Laboratory of Natural Medicines,China Pharmaceutical University,Nanjing 210009,China
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