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Kimino Minagawa

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

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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.
Biological & Pharmaceutical Bulletin|October 4, 2021
Signal Detection of Potential Hepatotoxic Drugs: Case-Control Study Using Both a Spontaneous Reporting System and Electronic Medical RecordsHayato Akimoto, Takuya Nagashima, Kimino Minagawa, et al.
Pharmacology Research & Perspectives|February 5, 2025
Non-Linear Dose-Response Relationship for Metformin in Japanese Patients With Type 2 Diabetes: Analysis of Irregular Longitudinal Data by Interpretable Machine Learning ModelsHayato Akimoto, Takuya Nagashima, Kimino Minagawa, et al.
Biological & Pharmaceutical Bulletin|January 18, 2026
Drug-Induced Liver Injury with Eosinophilia: A Case-Control Study Using Electronic Medical RecordsKimino Minagawa, Hayato Akimoto, Takashi Hayakawa, et al.
Clinical and Translational Science|December 18, 2024
Long-term benefit of SGLT2 inhibitors to prevent heart failure hospitalization in patients with diabetes, with potential time-varying benefitYasuo Takahashi, Kimino Minagawa, Takuya Nagashima, et al.
Psychopharmacology|August 23, 2024
Late development of OCD-like phenotypes in Dlgap1 knockout miceKimino Minagawa, Takashi Hayakawa, Hayato Akimoto, 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.
Pageof 2

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

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Pageof 2
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.
Biological & Pharmaceutical Bulletin|October 4, 2021
Signal Detection of Potential Hepatotoxic Drugs: Case-Control Study Using Both a Spontaneous Reporting System and Electronic Medical RecordsHayato Akimoto, Takuya Nagashima, Kimino Minagawa, et al.
Pharmacology Research & Perspectives|February 5, 2025
Non-Linear Dose-Response Relationship for Metformin in Japanese Patients With Type 2 Diabetes: Analysis of Irregular Longitudinal Data by Interpretable Machine Learning ModelsHayato Akimoto, Takuya Nagashima, Kimino Minagawa, et al.
Biological & Pharmaceutical Bulletin|January 18, 2026
Drug-Induced Liver Injury with Eosinophilia: A Case-Control Study Using Electronic Medical RecordsKimino Minagawa, Hayato Akimoto, Takashi Hayakawa, et al.
Clinical and Translational Science|December 18, 2024
Long-term benefit of SGLT2 inhibitors to prevent heart failure hospitalization in patients with diabetes, with potential time-varying benefitYasuo Takahashi, Kimino Minagawa, Takuya Nagashima, et al.
Psychopharmacology|August 23, 2024
Late development of OCD-like phenotypes in Dlgap1 knockout miceKimino Minagawa, Takashi Hayakawa, Hayato Akimoto, 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.
Pageof 2