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Journal of Pharmaceutical Sciences
|
December 3, 2022
Usefulness of Applying Partial Least Squares Regression to T<sub>2</sub> Relaxation Curves for Predicting the Solid form Content in Binary Physical Mixtures
Yuya Chiba, Kotaro Okada, Yoshihiro Hayashi, et al.
Chemical & Pharmaceutical Bulletin
|
September 2, 2021
Effects of Manufacturing Process Variables on the Tablet Weight Variation of Mini-tablets Clarified by a Definitive Screening Design
Shui Usuda, Naohiro Masukawa, Kok Hoong Leong, et al.
International Journal of Pharmaceutics
|
October 8, 2021
Application of machine learning to a material library for modeling of relationships between material properties and tablet properties
Yoshihiro Hayashi, Yuri Nakano, Yuki Marumo, et al.
Chemical & Pharmaceutical Bulletin
|
August 2, 2023
Continuous Monitoring of the Agglomeration and Sedimentation of Indomethacin Nanosuspensions Using T<sub>2</sub> Relaxation Time with Time-Domain NMR
Takashi Ono, Kotaro Okada, Megumi Tsuchiya, et al.
Chemical & Pharmaceutical Bulletin
|
May 31, 2023
A Data-Driven Approach to Predicting Tablet Properties after Accelerated Test Using Raw Material Property Database and Machine Learning
Yoshihiro Hayashi, Yuri Nakano, Yuki Marumo, et al.
Chemical & Pharmaceutical Bulletin
|
June 4, 2019
T<sub>2</sub> Relaxation Study to Evaluate the Crystalline State of Indomethacin Containing Solid Dispersions Using Time-Domain NMR
Kotaro Okada, Daijiro Hirai, Yoshihiro Hayashi, et al.
Chemical & Pharmaceutical Bulletin
|
March 5, 2019
A Novel Approach to Evaluate Amorphous-to-Crystalline Transformation of Active Pharmaceutical Ingredients in Solid Dispersion Using Time-Domain NMR
Kotaro Okada, Daijiro Hirai, Yoshihiro Hayashi, et al.
International Journal of Pharmaceutics
|
May 22, 2023
Application of unsupervised and supervised learning to a material attribute database of tablets produced at two different granulation scales
Yoshihiro Hayashi, Miho Noguchi, Takuya Oishi, et al.
Journal of Pharmaceutical Sciences
|
September 30, 2018
<sup>1</sup>H NMR Relaxation Study to Evaluate the Crystalline State of Active Pharmaceutical Ingredients Containing Solid Dosage Forms Using Time Domain NMR
Kotaro Okada, Daijiro Hirai, Shungo Kumada, et al.
Journal of Pharmaceutical and Biomedical Analysis
|
January 24, 2024
TGA and NMR relaxation measurement of nonmesoporous silica to investigate the amount of hydrolysis product in acetylsalicylic acid adsorbed on silica
Kotaro Okada, Daichi Watanabe, Takashi Ono, et al.
Page
of 5
Search research articles
Search
Showing results (11-20 of 41) with videos related to
Sort By:
Page
of 5
Journal of Pharmaceutical Sciences
|
December 3, 2022
Usefulness of Applying Partial Least Squares Regression to T<sub>2</sub> Relaxation Curves for Predicting the Solid form Content in Binary Physical Mixtures
Yuya Chiba, Kotaro Okada, Yoshihiro Hayashi, et al.
Chemical & Pharmaceutical Bulletin
|
September 2, 2021
Effects of Manufacturing Process Variables on the Tablet Weight Variation of Mini-tablets Clarified by a Definitive Screening Design
Shui Usuda, Naohiro Masukawa, Kok Hoong Leong, et al.
International Journal of Pharmaceutics
|
October 8, 2021
Application of machine learning to a material library for modeling of relationships between material properties and tablet properties
Yoshihiro Hayashi, Yuri Nakano, Yuki Marumo, et al.
Chemical & Pharmaceutical Bulletin
|
August 2, 2023
Continuous Monitoring of the Agglomeration and Sedimentation of Indomethacin Nanosuspensions Using T<sub>2</sub> Relaxation Time with Time-Domain NMR
Takashi Ono, Kotaro Okada, Megumi Tsuchiya, et al.
Chemical & Pharmaceutical Bulletin
|
May 31, 2023
A Data-Driven Approach to Predicting Tablet Properties after Accelerated Test Using Raw Material Property Database and Machine Learning
Yoshihiro Hayashi, Yuri Nakano, Yuki Marumo, et al.
Chemical & Pharmaceutical Bulletin
|
June 4, 2019
T<sub>2</sub> Relaxation Study to Evaluate the Crystalline State of Indomethacin Containing Solid Dispersions Using Time-Domain NMR
Kotaro Okada, Daijiro Hirai, Yoshihiro Hayashi, et al.
Chemical & Pharmaceutical Bulletin
|
March 5, 2019
A Novel Approach to Evaluate Amorphous-to-Crystalline Transformation of Active Pharmaceutical Ingredients in Solid Dispersion Using Time-Domain NMR
Kotaro Okada, Daijiro Hirai, Yoshihiro Hayashi, et al.
International Journal of Pharmaceutics
|
May 22, 2023
Application of unsupervised and supervised learning to a material attribute database of tablets produced at two different granulation scales
Yoshihiro Hayashi, Miho Noguchi, Takuya Oishi, et al.
Journal of Pharmaceutical Sciences
|
September 30, 2018
<sup>1</sup>H NMR Relaxation Study to Evaluate the Crystalline State of Active Pharmaceutical Ingredients Containing Solid Dosage Forms Using Time Domain NMR
Kotaro Okada, Daijiro Hirai, Shungo Kumada, et al.
Journal of Pharmaceutical and Biomedical Analysis
|
January 24, 2024
TGA and NMR relaxation measurement of nonmesoporous silica to investigate the amount of hydrolysis product in acetylsalicylic acid adsorbed on silica
Kotaro Okada, Daichi Watanabe, Takashi Ono, et al.
Page
of 5