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Data-driven engineering framework with AI algorithm of Ginkgo Folium tablets manufacturing.

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第一作者： Lijuan,Ma

第一单位： Beijing University of Chinese Medicine, Engineering Research Center for Pharmaceutics of Chinese Materia Medica and New Drug Development, Ministry of Education, Beijing 100029, China.

作者： Lijuan,Ma ^[1] ; Jing,Zhang ^[1] ; Ling,Lin ^[1] ; Tuanjie,Wang ^[2] ; Chaofu,Ma ^[1] ; Xiaomeng,Wang ^[1] ; Mingshuang,Li ^[1] ; Yanjiang,Qiao ^[1] ; Yongxiang,Wang ^[3] ; Guimin,Zhang ^[4] ; Zhisheng,Wu ^[1]

作者单位： Beijing University of Chinese Medicine, Engineering Research Center for Pharmaceutics of Chinese Materia Medica and New Drug Development, Ministry of Education, Beijing 100029, China. ^[1] Jiangsu Kanion Pharmaceutical Co., Ltd., State Key Laboratory of New Technology in Pharmaceutical Process of Traditional Chinese Medicine, Lianyungang 222001, China. ^[2] Yangtze River Pharmaceutical (Group) Co., Ltd., State Pharmaceutical Engineering Technology Research Center of Traditional Chinese Medicine, Taizhou 225321, China. ^[3] Lunan Pharmaceutical Group Co., Ltd., State Key Laboratory of Generic Technology of Traditional Chinese Medicine, Linyi 276005, China. ^[4]

关键词 Artificial intelligence Data-driven engineering End-to-end Information fusion Process capability index Quality traceability Real-world Ginkgo Folium products Smart manufacturing

DOI 10.1016/j.apsb.2022.08.011

PMID 37250167

发布时间 2023-05-31

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Acta pharmaceutica Sinica. B

2023年13卷5期

2188-2201页

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Acta pharmaceutica Sinica. B

2023年13卷5期

2188-2201页

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Data-driven engineering framework with AI algorithm of Ginkgo Folium tablets manufacturing.

Acta pharmaceutica Sinica. B

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Data-driven engineering framework with AI algorithm of Ginkgo Folium tablets manufacturing.

Acta pharmaceutica Sinica. B

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Acta pharmaceutica Sinica. B

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