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Combining High-Throughput Screening and Machine Learning to Predict the Formation of Both Binary and Ternary Amorphous Solid Dispersion Formulations for Early Drug Discovery and Development.

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Title: Combining High-Throughput Screening and Machine Learning to Predict the Formation of Both Binary and Ternary Amorphous Solid Dispersion Formulations for Early Drug Discovery and Development.
Authors: Lu, Tianshu1,2 (AUTHOR), Wu, Yiyang2 (AUTHOR), Xiong, Ping2 (AUTHOR), Zhong, Hao2 (AUTHOR), Ding, Yang3 (AUTHOR), Li, Haifeng1 (AUTHOR) haifengli@um.edu.mo, Ouyang, Defang2,4 (AUTHOR) defangouyang@um.edu.mo
Source: Pharmaceutical Research. Apr2025, Vol. 42 Issue 4, p697-709. 13p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 185134971
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Combining High-Throughput Screening and Machine Learning to Predict the Formation of Both Binary and Ternary Amorphous Solid Dispersion Formulations for Early Drug Discovery and Development.
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  Data: <searchLink fieldCode="JN" term="%22Pharmaceutical+Research%22">Pharmaceutical Research</searchLink>. Apr2025, Vol. 42 Issue 4, p697-709. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185134971
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11095-025-03853-z
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 697
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      – TitleFull: Combining High-Throughput Screening and Machine Learning to Predict the Formation of Both Binary and Ternary Amorphous Solid Dispersion Formulations for Early Drug Discovery and Development.
        Type: main
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          Name:
            NameFull: Lu, Tianshu
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            NameFull: Wu, Yiyang
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            NameFull: Xiong, Ping
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            NameFull: Zhong, Hao
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            NameFull: Ding, Yang
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            NameFull: Li, Haifeng
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            NameFull: Ouyang, Defang
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            – D: 01
              M: 04
              Text: Apr2025
              Type: published
              Y: 2025
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              Value: 42
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            – TitleFull: Pharmaceutical Research
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