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Junhuang Jiang

Showing results (1-10 of 17) with videos related to

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AAPS Pharmscitech|April 18, 2023
Predicting Glass-Forming Ability of Pharmaceutical Compounds by Using Machine Learning TechnologiesJunhuang Jiang, Defang Ouyang, Robert O Williams
Nanoscale Horizons|June 17, 2025
Overview and SWOT analysis of nano-ferroptosis therapy for cancersQian Chen, Junli Zhu, Junhuang Jiang, et al.
Therapeutic Delivery|June 30, 2025
Optimizing therapeutic delivery of microneedles through gas-propelled technologyZhicheng Xiao, Xin Pan, Junhuang Jiang, et al.
Pharmaceutics|November 11, 2022
Emerging Artificial Intelligence (AI) Technologies Used in the Development of Solid Dosage FormsJunhuang Jiang, Xiangyu Ma, Defang Ouyang, et al.
International Journal of Pharmaceutics: X|February 17, 2023
The applications of machine learning to predict the forming of chemically stable amorphous solid dispersions prepared by hot-melt extrusionJunhuang Jiang, Anqi Lu, Xiangyu Ma, et al.
International Journal of Pharmaceutics|June 10, 2025
Recent advances in dry powder inhalation formulations prepared by co-spray drying technology: a comprehensive reviewXian Chen, Zhengwei Huang, Xuejuan Zhang, et al.
Acta Pharmaceutica Sinica. B|February 13, 2026
Applications of AI/ML in accelerating the development of pulmonary drug delivery systemJunhuang Jiang, Ziling Zhou, Tingting Peng, et al.
International Journal of Pharmaceutics|October 19, 2022
3D bioprinted microparticles: Optimizing loading efficiency using advanced DoE technique and machine learning modelingJiawei Wang, Niloofar Heshmati Aghda, Junhuang Jiang, et al.
Pharmaceutics|February 27, 2026
Machine Learning-Guided Development of Anti-Tuberculosis Dry Powder for Inhalation Prepared by Co-Spray DryingXiaoyun Hu, Xian Chen, Ziling Zhou, et al.
AAPS Pharmscitech|May 5, 2026
The Application of Machine Learning in the Development of Co-Amorphous Dry Powder InhalationZiling Zhou, Xian Chen, Yuxin Liu, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
AAPS Pharmscitech|April 18, 2023
Predicting Glass-Forming Ability of Pharmaceutical Compounds by Using Machine Learning TechnologiesJunhuang Jiang, Defang Ouyang, Robert O Williams
Nanoscale Horizons|June 17, 2025
Overview and SWOT analysis of nano-ferroptosis therapy for cancersQian Chen, Junli Zhu, Junhuang Jiang, et al.
Therapeutic Delivery|June 30, 2025
Optimizing therapeutic delivery of microneedles through gas-propelled technologyZhicheng Xiao, Xin Pan, Junhuang Jiang, et al.
Pharmaceutics|November 11, 2022
Emerging Artificial Intelligence (AI) Technologies Used in the Development of Solid Dosage FormsJunhuang Jiang, Xiangyu Ma, Defang Ouyang, et al.
International Journal of Pharmaceutics: X|February 17, 2023
The applications of machine learning to predict the forming of chemically stable amorphous solid dispersions prepared by hot-melt extrusionJunhuang Jiang, Anqi Lu, Xiangyu Ma, et al.
International Journal of Pharmaceutics|June 10, 2025
Recent advances in dry powder inhalation formulations prepared by co-spray drying technology: a comprehensive reviewXian Chen, Zhengwei Huang, Xuejuan Zhang, et al.
Acta Pharmaceutica Sinica. B|February 13, 2026
Applications of AI/ML in accelerating the development of pulmonary drug delivery systemJunhuang Jiang, Ziling Zhou, Tingting Peng, et al.
International Journal of Pharmaceutics|October 19, 2022
3D bioprinted microparticles: Optimizing loading efficiency using advanced DoE technique and machine learning modelingJiawei Wang, Niloofar Heshmati Aghda, Junhuang Jiang, et al.
Pharmaceutics|February 27, 2026
Machine Learning-Guided Development of Anti-Tuberculosis Dry Powder for Inhalation Prepared by Co-Spray DryingXiaoyun Hu, Xian Chen, Ziling Zhou, et al.
AAPS Pharmscitech|May 5, 2026
The Application of Machine Learning in the Development of Co-Amorphous Dry Powder InhalationZiling Zhou, Xian Chen, Yuxin Liu, et al.
Pageof 2