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Application of machine learning models in pharmaceutical engineering for prediction of pharmaceuticals solubility in supercritical solvent: study on phenytoin solubility.

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Title: Application of machine learning models in pharmaceutical engineering for prediction of pharmaceuticals solubility in supercritical solvent: study on phenytoin solubility.
Authors: Yu, Shengnan1 (AUTHOR), Chen, Yang1 (AUTHOR), Qiang, Weidong1 (AUTHOR) ysn20192027@163.com
Source: Frontiers in Chemistry. 2026, p1-10. 10p.
Database: Academic Search Ultimate
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  Data: Application of machine learning models in pharmaceutical engineering for prediction of pharmaceuticals solubility in supercritical solvent: study on phenytoin solubility.
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  Data: <searchLink fieldCode="AR" term="%22Yu%2C+Shengnan%22">Yu, Shengnan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Yang%22">Chen, Yang</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Qiang%2C+Weidong%22">Qiang, Weidong</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ysn20192027@163.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Frontiers+in+Chemistry%22">Frontiers in Chemistry</searchLink>. 2026, p1-10. 10p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192587764
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        Value: 10.3389/fchem.2026.1775080
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      – Code: eng
        Text: English
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        PageCount: 10
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      – TitleFull: Application of machine learning models in pharmaceutical engineering for prediction of pharmaceuticals solubility in supercritical solvent: study on phenytoin solubility.
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            NameFull: Chen, Yang
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            – D: 27
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              Text: 2026
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