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Hayato Akimoto

Showing results (1-10 of 28) with videos related to

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Yakugaku Zasshi : Journal of the Pharmaceutical Society of Japan|May 6, 2021
[Effects of Fibrates on Risk of Development of Diabetic Retinopathy in Japanese Working Age Patients with Type 2 Diabetes and Dyslipidemia: a Retrospective Cohort Study]Hayato Akimoto, Yasuo Takahashi, Satoshi Asai
International Journal of Molecular Sciences|March 6, 2021
Molecular Determinants of the Kinetic Binding Properties of Antihistamines at the Histamine H<sub>1</sub> ReceptorsHayato Akimoto, Yoshihiro Uesawa, Shigeru Hishinuma
International Journal of Molecular Sciences|February 10, 2021
Differential Regulation of Bilastine Affinity for Human Histamine H<sub>1</sub> Receptors by Lys 179 and Lys 191 via Its Binding Enthalpy and EntropyHayato Akimoto, Minoru Sugihara, Shigeru Hishinuma
BMC Pharmacology & Toxicology|November 22, 2025
Association between daily dose of dipeptidyl peptidase-4 inhibitors and change in glycated hemoglobin in patients with type 2 diabetes: interpretation of mixed-effects machine-learning models using electronic medical recordsTakashi Hayakawa, Hayato Akimoto, Takuya Nagashima, et al.
Frontiers in Pharmacology|July 25, 2022
Detection of Synergistic Interaction on an Additive Scale Between Two Drugs on Abnormal Elevation of Serum Alanine Aminotransferase Using Machine-Learning AlgorithmsHayato Akimoto, Takuya Nagashima, Kimino Minagawa, et al.
Pharmacology Research & Perspectives|November 27, 2019
Association between use of oral hypoglycemic agents in Japanese patients with type 2 diabetes mellitus and risk of depression: A retrospective cohort studyHayato Akimoto, Kotoe Tezuka, Yayoi Nishida, et al.
Clinical Pharmacology and Therapeutics|March 8, 2022
Identifying Antidepressants Less Likely to Cause Hyponatremia: Triangulation of Retrospective Cohort, Disproportionality, and Pharmacodynamic StudiesTakuya Nagashima, Takashi Hayakawa, Hayato Akimoto, et al.
Digital Health|June 14, 2023
Benzodiazepine-related dementia risks and protopathic biases revealed by multiple-kernel learning with electronic medical recordsTakashi Hayakawa, Takuya Nagashima, Hayato Akimoto, et al.
Frontiers in Pharmacology|June 8, 2023
Detection of potential drug-drug interactions for risk of acute kidney injury: a population-based case-control study using interpretable machine-learning modelsHayato Akimoto, Takashi Hayakawa, Takuya Nagashima, et al.
BMC Pharmacology & Toxicology|April 23, 2020
Comparative effect of dipeptidyl-peptidase 4 inhibitors on laboratory parameters in patients with diabetes mellitusYayoi Nishida, Yasuo Takahashi, Kotoe Tezuka, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Yakugaku Zasshi : Journal of the Pharmaceutical Society of Japan|May 6, 2021
[Effects of Fibrates on Risk of Development of Diabetic Retinopathy in Japanese Working Age Patients with Type 2 Diabetes and Dyslipidemia: a Retrospective Cohort Study]Hayato Akimoto, Yasuo Takahashi, Satoshi Asai
International Journal of Molecular Sciences|March 6, 2021
Molecular Determinants of the Kinetic Binding Properties of Antihistamines at the Histamine H<sub>1</sub> ReceptorsHayato Akimoto, Yoshihiro Uesawa, Shigeru Hishinuma
International Journal of Molecular Sciences|February 10, 2021
Differential Regulation of Bilastine Affinity for Human Histamine H<sub>1</sub> Receptors by Lys 179 and Lys 191 via Its Binding Enthalpy and EntropyHayato Akimoto, Minoru Sugihara, Shigeru Hishinuma
BMC Pharmacology & Toxicology|November 22, 2025
Association between daily dose of dipeptidyl peptidase-4 inhibitors and change in glycated hemoglobin in patients with type 2 diabetes: interpretation of mixed-effects machine-learning models using electronic medical recordsTakashi Hayakawa, Hayato Akimoto, Takuya Nagashima, et al.
Frontiers in Pharmacology|July 25, 2022
Detection of Synergistic Interaction on an Additive Scale Between Two Drugs on Abnormal Elevation of Serum Alanine Aminotransferase Using Machine-Learning AlgorithmsHayato Akimoto, Takuya Nagashima, Kimino Minagawa, et al.
Pharmacology Research & Perspectives|November 27, 2019
Association between use of oral hypoglycemic agents in Japanese patients with type 2 diabetes mellitus and risk of depression: A retrospective cohort studyHayato Akimoto, Kotoe Tezuka, Yayoi Nishida, et al.
Clinical Pharmacology and Therapeutics|March 8, 2022
Identifying Antidepressants Less Likely to Cause Hyponatremia: Triangulation of Retrospective Cohort, Disproportionality, and Pharmacodynamic StudiesTakuya Nagashima, Takashi Hayakawa, Hayato Akimoto, et al.
Digital Health|June 14, 2023
Benzodiazepine-related dementia risks and protopathic biases revealed by multiple-kernel learning with electronic medical recordsTakashi Hayakawa, Takuya Nagashima, Hayato Akimoto, et al.
Frontiers in Pharmacology|June 8, 2023
Detection of potential drug-drug interactions for risk of acute kidney injury: a population-based case-control study using interpretable machine-learning modelsHayato Akimoto, Takashi Hayakawa, Takuya Nagashima, et al.
BMC Pharmacology & Toxicology|April 23, 2020
Comparative effect of dipeptidyl-peptidase 4 inhibitors on laboratory parameters in patients with diabetes mellitusYayoi Nishida, Yasuo Takahashi, Kotoe Tezuka, et al.
Pageof 3