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Predicting physical stability of solid dispersions by machine learning techniques.
Han, Run; Xiong, Hui; Ye, Zhuyifan; Yang, Yilong; Huang, Tianhe; Jing, Qiufang; Lu, Jiahong; Pan, Hao; Ren, Fuzheng; Ouyang, Defang.
Afiliação
  • Han R; State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences (ICMS), University of Macau, Macau, China.
  • Xiong H; Engineering Research Centre of Pharmaceutical Process Chemistry, Ministry of Education; Shanghai Key Laboratory of New Drug Design; School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China.
  • Ye Z; State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences (ICMS), University of Macau, Macau, China.
  • Yang Y; State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences (ICMS), University of Macau, Macau, China.
  • Huang T; State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences (ICMS), University of Macau, Macau, China.
  • Jing Q; Engineering Research Centre of Pharmaceutical Process Chemistry, Ministry of Education; Shanghai Key Laboratory of New Drug Design; School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China.
  • Lu J; State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences (ICMS), University of Macau, Macau, China.
  • Pan H; School of Pharmaceutical Science, Liaoning University, No.66 Chongshanzhong Road, Shenyang, Liaoning 110036, China.
  • Ren F; Engineering Research Centre of Pharmaceutical Process Chemistry, Ministry of Education; Shanghai Key Laboratory of New Drug Design; School of Pharmacy, East China University of Science and Technology, Shanghai 200237, China. Electronic address: fzren@ecust.edu.cn.
  • Ouyang D; State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences (ICMS), University of Macau, Macau, China. Electronic address: defangouyang@um.edu.mo.
J Control Release ; 311-312: 16-25, 2019 10.
Article em En | MEDLINE | ID: mdl-31465824
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Moleculares / Estabilidade de Medicamentos Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Moleculares / Estabilidade de Medicamentos Idioma: En Ano de publicação: 2019 Tipo de documento: Article