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Creation of novel large dataset comprising several granulation methods and the prediction of tablet properties from critical material attributes and critical process parameters using regularized linear regression models including interaction terms.
Oishi, Takuya; Hayashi, Yoshihiro; Noguchi, Miho; Yano, Fumiaki; Kumada, Shungo; Takayama, Kozo; Okada, Kotaro; Onuki, Yoshinori.
Afiliación
  • Oishi T; Department of Pharmaceutical Technology, Graduate School of Medicine and Pharmaceutical Science for Research, University of Toyama, 2630 Sugitani, Toyama-shi, Toyama 930-0194, Japan.
  • Hayashi Y; Department of Pharmaceutical Technology, Graduate School of Medicine and Pharmaceutical Science for Research, University of Toyama, 2630 Sugitani, Toyama-shi, Toyama 930-0194, Japan; Formulation Development Department, Development & Planning Division, Nichi-Iko Pharmaceutical Co., Ltd., 205-1, S
  • Noguchi M; Department of Pharmaceutical Technology, Graduate School of Medicine and Pharmaceutical Science for Research, University of Toyama, 2630 Sugitani, Toyama-shi, Toyama 930-0194, Japan.
  • Yano F; Formulation Development Department, Development & Planning Division, Nichi-Iko Pharmaceutical Co., Ltd., 205-1, Shimoumezawa, Namerikawa-shi, Toyama 936-0857, Japan.
  • Kumada S; Formulation Development Department, Development & Planning Division, Nichi-Iko Pharmaceutical Co., Ltd., 205-1, Shimoumezawa, Namerikawa-shi, Toyama 936-0857, Japan.
  • Takayama K; Faculty of Pharmacy and Pharmaceutical Sciences, Josai University, 1-1 Keyakidai, Sakado, Saitama 350-0295, Japan.
  • Okada K; Department of Pharmaceutical Technology, Graduate School of Medicine and Pharmaceutical Science for Research, University of Toyama, 2630 Sugitani, Toyama-shi, Toyama 930-0194, Japan.
  • Onuki Y; Department of Pharmaceutical Technology, Graduate School of Medicine and Pharmaceutical Science for Research, University of Toyama, 2630 Sugitani, Toyama-shi, Toyama 930-0194, Japan.
Int J Pharm ; 577: 119083, 2020 Mar 15.
Article en En | MEDLINE | ID: mdl-31988032
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Química Farmacéutica / Ibuprofeno / Tecnología Farmacéutica / Excipientes Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Pharm Año: 2020 Tipo del documento: Article País de afiliación: Japón
Texto completo
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XML
PubMed Links
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Química Farmacéutica / Ibuprofeno / Tecnología Farmacéutica / Excipientes Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Pharm Año: 2020 Tipo del documento: Article País de afiliación: Japón