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Opportunities and challenges of physiologically based pharmacokinetic modeling in drug delivery Review article
2022
Authors:  Wei Wang;  Defang Ouyang
Favorite | TC[WOS]:18 TC[Scopus]:26  IF:6.5/7.3 | Submit date：2022/05/17
Inhalation  Injectable Formulation  Nanomedicine  Oral Formulation  Pbpk Modeling  Transdermal Formulations  
Deep learning for in vitro prediction of pharmaceutical formulations Journal article
Yang Y., Ye Z., Su Y., Zhao Q., Li X., Ouyang D.. Deep learning for in vitro prediction of pharmaceutical formulations[J]. Acta Pharmaceutica Sinica B, 2019, 9(1), 177-185.
Authors:  Yang Y.;  Ye Z.;  Su Y.;  Zhao Q.;  Li X.; et al.
Favorite | TC[WOS]:88 TC[Scopus]:112 | Submit date：2019/02/14
Automatic Dataset Selection Algorithm  Deep Learning  Oral Fast Disintegrating Films  Oral Sustained Release Matrix Tablets  Pharmaceutical Formulation  Small Data  
Predicting oral disintegrating tablet formulations by neural network techniques Journal article
Han, Run, Yang, Yilong, Li, Xiaoshan, Ouyang, Defang. Predicting oral disintegrating tablet formulations by neural network techniques[J]. ASIAN JOURNAL OF PHARMACEUTICAL SCIENCES, 2018, 13(4), 336-342.
Authors:  Han, Run;  Yang, Yilong;  Li, Xiaoshan;  Ouyang, Defang
Favorite | TC[WOS]:57 TC[Scopus]:73  IF:10.7/9.0 | Submit date：2018/10/30
Oral Disintegrating Tablets  Formulation Prediction  Artificial Neural Network  Deep Neural Network  Deep-learning  
Design of amphotericin B oral formulation for antifungal therapy Journal article
Liu, Min, Chen, Meiwan, Yang, Zhiwen. Design of amphotericin B oral formulation for antifungal therapy[J]. DRUG DELIVERY, 2017, 24(1), 1-9.
Authors:  Liu, Min;  Chen, Meiwan;  Yang, Zhiwen
Favorite | TC[WOS]:53 TC[Scopus]:60  IF:6.5/6.7 | Submit date：2018/10/30
Amphotericin b  Oral Administration  Formulation Design