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Molecular Pharmaceutics
|
May 9, 2025
Machine Learning Prediction and Validation of Plasma Concentration-Time Profiles
Hiroaki Iwata, Michiharu Kageyama, Koichi Handa
Plos One
|
December 20, 2021
Cerebral and extracerebral distribution of radioactivity associated with oxytocin in rabbits after intranasal administration: Comparison of TTA-121, a newly developed oxytocin formulation, with Syntocinon
Daisuke Ishii, Michiharu Kageyama, Shin Umeda
Journal of Chemical Information and Modeling
|
April 19, 2024
Development of Novel Methods for QSAR Modeling by Machine Learning Repeatedly: A Case Study on Drug Distribution to Each Tissue
Koichi Handa, Saki Yoshimura, Michiharu Kageyama, et al.
Pharmaceutical Research
|
September 10, 2025
Fraction-based Linear Extrapolation (FLEX) Method for Predicting Human Pharmacokinetic Clearance: Advanced Allometric Scaling Method and Machine Learning Approach
Yuki Umemori, Koichi Handa, Saki Yoshimura, et al.
Drug Discovery Today
|
July 2, 2025
Computational approaches to DMPK: A realistic assessment of current methods and their practical impact. Part I: Physicochemical and in vitro properties
Koichi Handa, Mariko Hirano, Michiharu Kageyama, et al.
European Journal of Drug Metabolism and Pharmacokinetics
|
June 2, 2023
Development of a 2D-QSAR Model for Tissue-to-Plasma Partition Coefficient Value with High Accuracy Using Machine Learning Method, Minimum Required Experimental Values, and Physicochemical Descriptors
Koichi Handa, Seishiro Sakamoto, Michiharu Kageyama, et al.
Biomolecules
|
May 24, 2024
Development of a Novel In Silico Classification Model to Assess Reactive Metabolite Formation in the Cysteine Trapping Assay and Investigation of Important Substructures
Yuki Umemori, Koichi Handa, Saki Yoshimura, et al.
Journal of Cheminformatics
|
November 22, 2023
On the difficulty of validating molecular generative models realistically: a case study on public and proprietary data
Koichi Handa, Morgan C Thomas, Michiharu Kageyama, et al.
Molecular Pharmaceutics
|
September 26, 2024
A Practical <i>In Silico</i> Method for Predicting Compound Brain Concentration-Time Profiles: Combination of PK Modeling and Machine Learning
Koichi Handa, Daichi Fujita, Mariko Hirano, et al.
Analytical and Bioanalytical Chemistry
|
December 12, 2022
Stabilization and quantitative measurement of nicotinamide adenine dinucleotide in human whole blood using dried blood spot sampling
Ryo Matsuyama, Tomoyo Omata, Michiharu Kageyama, et al.
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Search research articles
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Showing results (1-10 of 21) with videos related to
Sort By:
Page
of 3
Molecular Pharmaceutics
|
May 9, 2025
Machine Learning Prediction and Validation of Plasma Concentration-Time Profiles
Hiroaki Iwata, Michiharu Kageyama, Koichi Handa
Plos One
|
December 20, 2021
Cerebral and extracerebral distribution of radioactivity associated with oxytocin in rabbits after intranasal administration: Comparison of TTA-121, a newly developed oxytocin formulation, with Syntocinon
Daisuke Ishii, Michiharu Kageyama, Shin Umeda
Journal of Chemical Information and Modeling
|
April 19, 2024
Development of Novel Methods for QSAR Modeling by Machine Learning Repeatedly: A Case Study on Drug Distribution to Each Tissue
Koichi Handa, Saki Yoshimura, Michiharu Kageyama, et al.
Pharmaceutical Research
|
September 10, 2025
Fraction-based Linear Extrapolation (FLEX) Method for Predicting Human Pharmacokinetic Clearance: Advanced Allometric Scaling Method and Machine Learning Approach
Yuki Umemori, Koichi Handa, Saki Yoshimura, et al.
Drug Discovery Today
|
July 2, 2025
Computational approaches to DMPK: A realistic assessment of current methods and their practical impact. Part I: Physicochemical and in vitro properties
Koichi Handa, Mariko Hirano, Michiharu Kageyama, et al.
European Journal of Drug Metabolism and Pharmacokinetics
|
June 2, 2023
Development of a 2D-QSAR Model for Tissue-to-Plasma Partition Coefficient Value with High Accuracy Using Machine Learning Method, Minimum Required Experimental Values, and Physicochemical Descriptors
Koichi Handa, Seishiro Sakamoto, Michiharu Kageyama, et al.
Biomolecules
|
May 24, 2024
Development of a Novel In Silico Classification Model to Assess Reactive Metabolite Formation in the Cysteine Trapping Assay and Investigation of Important Substructures
Yuki Umemori, Koichi Handa, Saki Yoshimura, et al.
Journal of Cheminformatics
|
November 22, 2023
On the difficulty of validating molecular generative models realistically: a case study on public and proprietary data
Koichi Handa, Morgan C Thomas, Michiharu Kageyama, et al.
Molecular Pharmaceutics
|
September 26, 2024
A Practical <i>In Silico</i> Method for Predicting Compound Brain Concentration-Time Profiles: Combination of PK Modeling and Machine Learning
Koichi Handa, Daichi Fujita, Mariko Hirano, et al.
Analytical and Bioanalytical Chemistry
|
December 12, 2022
Stabilization and quantitative measurement of nicotinamide adenine dinucleotide in human whole blood using dried blood spot sampling
Ryo Matsuyama, Tomoyo Omata, Michiharu Kageyama, et al.
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