Rchr
J-GLOBAL ID：202001016577323780
Update date: Mar. 06, 2025
NAGASHIMA Takuya
ナガシマ タクヤ | NAGASHIMA Takuya
Affiliation and department：
Job title：
Assistant Professor
Research field (2)：
Pharmacology
, Biological, health, and medical informatics
Research keywords (6)：
Clinical pharmacology
, Basic pharmacology
, Pharmacoepidemiology
, Pharmacodynamics
, Clinical informatics
, Molecular pharmacology
Papers (21)：
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Hayato Akimoto, Takuya Nagashima, Kimino Minagawa, Takashi Hayakawa, Yasuo Takahashi, Satoshi Asai. Non-Linear Dose-Response Relationship for Metformin in Japanese Patients With Type 2 Diabetes: Analysis of Irregular Longitudinal Data by Interpretable Machine Learning Models. Pharmacology Research & Perspectives. 2025. 13. 1
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Yasuo Takahashi, Kimino Minagawa, Takuya Nagashima, Takashi Hayakawa, Hayato Akimoto, Satoshi Asai. Long-term benefit of SGLT2 inhibitors to prevent heart failure hospitalization in patients with diabetes, with potential time-varying benefit. Clinical and Translational Science. 2024. 17. 12
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Kimino Minagawa, Takashi Hayakawa, Hayato Akimoto, Takuya Nagashima, Yasuo Takahashi, Satoshi Asai. Late development of OCD-like phenotypes in Dlgap1 knockout mice. Psychopharmacology. 2024
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Takashi Hayakawa, Takuya Nagashima, Hayato Akimoto, Kimino Minagawa, Yasuo Takahashi, Satoshi Asai. Benzodiazepine-related dementia risks and protopathic biases revealed by multiple-kernel learning with electronic medical records. DIGITAL HEALTH. 2023. 9. 205520762311785
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Hayato Akimoto, Takashi Hayakawa, Takuya Nagashima, Kimino Minagawa, Yasuo Takahashi, Satoshi Asai. Detection of potential drug-drug interactions for risk of acute kidney injury: a population-based case-control study using interpretable machine-learning models. Frontiers in Pharmacology. 2023. 14. 1176096
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Lectures and oral presentations (12)：
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An early and versatile detection scheme of adverse drug reactions using large-scale administrative claims data
(The 96th Annual Meeting of the Japanese Pharmacological Society 2022)
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Identifying antidepressants less likely to cause hyponatremia: triangulation of retrospective cohort, disproportionality, and pharmacodynamic studies
(The 96th Annual Meeting of the Japanese Pharmacological Society 2022)
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Identification of the therapeutic target for tendinopathy through the combination of real world data analysis and pharmacological experiments
(The 96th Annual Meeting of the Japanese Pharmacological Society 2022)
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抗精神病薬による有害事象の軽減方法の探索: 臨床情報データベースを用いた時系列解析
(第68回日本薬学会近畿支部総会・大会 2018)
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Prevention of antipsychotic-induced hyperglycemia by vitamin D: a data mining prediction followed by experimental exploration of the molecular mechanism
(18th World Congress of Basic and Clinical Pharmacology 2018)
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Education (2)：
- - 2020 Kyoto University Graduate School of Pharmaceutical Sciences Division of Biomedical Sciences
- - 2016 Kyoto University Faculty of Pharmaceutical Sciences Division of Pharmacy
Professional career (1)：
Awards (2)：
- 2023/12 - The 34th Japan Reserch Foundation for Clinical Pharmacology Academic Paper Award
- 2022/12 - The 96th Annual Meeting of the Japanese Pharmacological Society Best Presentation Award
Association Membership(s) (2)：
The Japanese Society of Clinical Pharmacology and Therapeutics
, The Japanese Pharmacological Society
