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Predicting Glass-Forming Ability of Pharmaceutical Compounds by Using Machine Learning Technologies Journal article
Jiang, Junhuang, Ouyang, Defang, Williams, Robert O.. Predicting Glass-Forming Ability of Pharmaceutical Compounds by Using Machine Learning Technologies[J]. AAPS PharmSciTech, 2023, 24(5), 103.
Authors:  Jiang, Junhuang;  Ouyang, Defang;  Williams, Robert O.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:3.4/3.5 | Submit date：2023/07/20
Amorphous Drugs  Artificial Intelligence  Glass-forming Ability  Machine Learning  
The applications of machine learning to predict the forming of chemically stable amorphous solid dispersions prepared by hot-melt extrusion Journal article
Jiang, Junhuang, Lu, Anqi, Ma, Xiangyu, Ouyang, Defang, Williams, Robert O.. The applications of machine learning to predict the forming of chemically stable amorphous solid dispersions prepared by hot-melt extrusion[J]. International Journal of Pharmaceutics-X, 2023, 5, 100164.
Authors:  Jiang, Junhuang;  Lu, Anqi;  Ma, Xiangyu;  Ouyang, Defang;  Williams, Robert O.
Favorite | TC[WOS]:11 TC[Scopus]:12 | Submit date：2023/02/28
Amorphous Solid Dispersion  Artificial Intelligence  Hot-melt Extrusion  Machine Learning  
3D bioprinted microparticles: Optimizing loading efficiency using advanced DoE technique and machine learning modeling Journal article
Wang, Jiawei, Heshmati Aghda, Niloofar, Jiang, Junhuang, Mridula Habib, Ayishah, Ouyang, Defang, Maniruzzaman, Mohammed. 3D bioprinted microparticles: Optimizing loading efficiency using advanced DoE technique and machine learning modeling[J]. International Journal of Pharmaceutics, 2022, 628, 122302.
Authors:  Wang, Jiawei;  Heshmati Aghda, Niloofar;  Jiang, Junhuang;  Mridula Habib, Ayishah;  Ouyang, Defang; et al.
Favorite | TC[WOS]:16 TC[Scopus]:18  IF:5.3/5.6 | Submit date：2022/12/01
3d Printing  Design Of Experiment  Machine Learning  Microparticle  
Emerging Artificial Intelligence (AI) Technologies Used in the Development of Solid Dosage Forms Review article
2022
Authors:  Jiang, Junhuang;  Ma, Xiangyu;  Ouyang, Defang;  Williams, Robert O.
Favorite | TC[WOS]:20 TC[Scopus]:35  IF:4.9/5.5 | Submit date：2022/12/01
Solid Dosage Formulation  Artificial Intelligence  Machine Learning  Deep Learning  
The applications of Machine learning (ML) in designing dry powder for inhalation by using thin-film-freezing technology Journal article
Jiang, Junhuang, Peng, Han Hsuan, Yang, Zhenpei, Ma, Xiangyu, Sahakijpijarn, Sawittree, Moon, Chaeho, Ouyang, Defang, Williams, Robert O.. The applications of Machine learning (ML) in designing dry powder for inhalation by using thin-film-freezing technology[J]. INTERNATIONAL JOURNAL OF PHARMACEUTICS, 2022, 626, 122179.
Authors:  Jiang, Junhuang;  Peng, Han Hsuan;  Yang, Zhenpei;  Ma, Xiangyu;  Sahakijpijarn, Sawittree; et al.
Favorite | TC[WOS]:13 TC[Scopus]:16  IF:5.3/5.6 | Submit date：2022/11/07
Aerosol Performance  Deep Learning  Dry Powder Inhaler (Dpi)  Image Analysis  Machine Learning  Thin-film-freezing