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QbD-Based Design Space Development for Honey-Containing Traditional Chinese Medicine Tablets Assisted by the SeDeM Expert System and Machine Learning.

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Title: QbD-Based Design Space Development for Honey-Containing Traditional Chinese Medicine Tablets Assisted by the SeDeM Expert System and Machine Learning.
Authors: Deng, Xinxin1 (AUTHOR), Mu, Dandan2 (AUTHOR), Song, Fei2 (AUTHOR), Miao, Yeqing2 (AUTHOR), Yin, Qiang1,2 (AUTHOR) yinqiang@renfu.com.cn, Yin, Hailong1,2 (AUTHOR)
Source: Pharmaceutics. Aug2026, Vol. 18 Issue 8, p1014. 29p.
Database: Academic Search Ultimate
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  Data: QbD-Based Design Space Development for Honey-Containing Traditional Chinese Medicine Tablets Assisted by the SeDeM Expert System and Machine Learning.
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  Data: <searchLink fieldCode="JN" term="%22Pharmaceutics%22">Pharmaceutics</searchLink>. Aug2026, Vol. 18 Issue 8, p1014. 29p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=196613582
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        Value: 10.3390/pharmaceutics18081014
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        Text: English
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      – TitleFull: QbD-Based Design Space Development for Honey-Containing Traditional Chinese Medicine Tablets Assisted by the SeDeM Expert System and Machine Learning.
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            NameFull: Mu, Dandan
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            – D: 01
              M: 08
              Text: Aug2026
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              Y: 2026
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