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Koichi Handa

Showing results (11-20 of 17) with videos related to

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Molecular Pharmaceutics|April 25, 2023
Prediction of Compound Plasma Concentration-Time Profiles in Mice Using Random ForestKoichi Handa, Peter Wright, Saki Yoshimura, et al.
Journal of Chemical Information and Modeling|September 10, 2024
Prediction of Inhibitory Activity against the MATE1 Transporter via Combined Fingerprint- and Physics-Based Machine Learning ModelsKoichi Handa, Shunta Sasaki, Satoshi Asano, 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 LearningKoichi Handa, Daichi Fujita, Mariko Hirano, et al.
Drug Metabolism and Pharmacokinetics|April 10, 2026
Advances in In silico predictive models for DDI prediction: Implications and practical applications in drug discoveryKoichi Handa, Hideaki Mamada, Shinji Nakayama, et al.
Journal of Chemical Information and Modeling|August 22, 2022
Predicting Total Drug Clearance and Volumes of Distribution Using the Machine Learning-Mediated Multimodal Method through the Imputation of Various Nonclinical DataHiroaki Iwata, Tatsuru Matsuo, Hideaki Mamada, et al.
Journal of Pharmaceutical Sciences|January 26, 2021
Prediction of Total Drug Clearance in Humans Using Animal Data: Proposal of a Multimodal Learning Method Based on Deep LearningHiroaki Iwata, Tatsuru Matsuo, Hideaki Mamada, et al.
FEBS Letters|January 13, 2006
Calcium ions are involved in the delay of plant cell cycle progression by abiotic stressesToshio Sano, Takumi Higaki, Koichi Handa, et al.
Pageof 2

Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
Molecular Pharmaceutics|April 25, 2023
Prediction of Compound Plasma Concentration-Time Profiles in Mice Using Random ForestKoichi Handa, Peter Wright, Saki Yoshimura, et al.
Journal of Chemical Information and Modeling|September 10, 2024
Prediction of Inhibitory Activity against the MATE1 Transporter via Combined Fingerprint- and Physics-Based Machine Learning ModelsKoichi Handa, Shunta Sasaki, Satoshi Asano, 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 LearningKoichi Handa, Daichi Fujita, Mariko Hirano, et al.
Drug Metabolism and Pharmacokinetics|April 10, 2026
Advances in In silico predictive models for DDI prediction: Implications and practical applications in drug discoveryKoichi Handa, Hideaki Mamada, Shinji Nakayama, et al.
Journal of Chemical Information and Modeling|August 22, 2022
Predicting Total Drug Clearance and Volumes of Distribution Using the Machine Learning-Mediated Multimodal Method through the Imputation of Various Nonclinical DataHiroaki Iwata, Tatsuru Matsuo, Hideaki Mamada, et al.
Journal of Pharmaceutical Sciences|January 26, 2021
Prediction of Total Drug Clearance in Humans Using Animal Data: Proposal of a Multimodal Learning Method Based on Deep LearningHiroaki Iwata, Tatsuru Matsuo, Hideaki Mamada, et al.
FEBS Letters|January 13, 2006
Calcium ions are involved in the delay of plant cell cycle progression by abiotic stressesToshio Sano, Takumi Higaki, Koichi Handa, et al.
Pageof 2