Rchr
J-GLOBAL ID:202101012147972891   Update date: Dec. 12, 2024

Asada Mizuho

アサダ ミズホ | Asada Mizuho
Affiliation and department:
Other affiliations (1):
  • Tokyo Medical and Dental University  Department of Anesthesiology   Part-time Lecturer
Research keywords  (2): Clinical Phrmacology ,  Pharmacokinetics
Research theme for competitive and other funds  (6):
  • 2023 - 2025 Deep learning-based prediction model for intraoperative neuromuscular blockade
  • 2022 - 2023 機械学習を用いた外科手術中の安全な筋弛緩薬ロクロニウム維持投与量予測方法の創出
  • 2020 - 2021 人工心肺施行患者における母集団解析に基づくトラネキサム酸の個別化投与設計法の開発
  • 2019 - 2019 人工心肺施行患者における母集団解析に基づくセファゾリン新規投与法の有用性評価
  • 2018 - 2018 母集団薬物動態解析による人工心肺中の至適な遊離セファゾリン濃度達成投与法の創出
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Papers (13):
  • Takashi Bando, Masayuki Chuma, Hirofumi Hamano, Takahiro Niimura, Naoto Okada, Masateru Kondo, Yuki Izumi, Shunsuke Ishida, Toshihiko Yoshioka, Mizuho Asada, et al. Concomitant Use of Multiple Nephrotoxins including Renal Hypoperfusion Medications Causes Vancomycin-Associated Nephrotoxicity: Combined Retrospective Analyses of Two Real-World Databases. Acta medica Okayama. 2023. 77. 6. 595-605
  • Yuriko Nakao, Mizuho Asada, Yoshihiro Uesawa. Comprehensive Study of Drug-Induced Pruritus Based on Adverse Drug Reaction Report Database. Pharmaceuticals (Basel, Switzerland). 2023. 16. 10
  • Takahiro Niimura, Yoshito Zamami, Koji Miyata, Takahisa Mikami, Mizuho Asada, Keijo Fukushima, Masaki Yoshino, Satoru Mitsuboshi, Naoto Okada, Hirofumi Hamano, et al. Characterization of Immune Checkpoint Inhibitor-Induced Myasthenia Gravis Using the United States Food and Drug Administration Adverse Event Reporting System. Journal of clinical pharmacology. 2022. 63. 4. 473-479
  • Masayuki Chuma, Hirofumi Hamano, Takashi Bando, Masateru Kondo, Naoto Okada, Yuki Izumi, Shunsuke Ishida, Toshihiko Yoshioka, Mizuho Asada, Takahiro Niimura, et al. Non-recovery of vancomycin-associated nephrotoxicity is related to worsening survival outcomes-combined retrospective analyses of two real-world databases. Basic & clinical pharmacology & toxicology. 2022. 131. 6. 525-535
  • Masayuki Chuma, Aki Nakamoto, Takashi Bando, Takahiro Niimura, Yutaka Kondo, Hirofumi Hamano, Naoto Okada, Mizuho Asada, Yoshito Zamami, Kenshi Takechi, et al. Association between statin use and daptomycin-related musculoskeletal adverse events: A mixed approach combining a meta-analysis and a disproportionality analysis. Clinical infectious diseases : an official publication of the Infectious Diseases Society of America. 2022. 75. 8. 1416-1422
more...
MISC (35):
  • 金森眸, 朝田瑞穂, 近藤伸世, 仙頭佳起, 内田篤治郎. Relationship between TOF count and estimated effect site concentrations calculated from PK/PD model: A retrospective study. 日本麻酔科学会学術集会(Web). 2024. 71st
  • 岡田賢二, 岡田賢二, 中野孝介, 出口尚子, 三井誠二, 中國正祥, 庄司健介, 小林信二, 小林洋介, 吉門崇, et al. Implementation status of therapeutic drug monitoring for antimicrobial agents in pediatrics: An analysis of data from the Pediatric Medical Information Collection System. 日本薬学会年会要旨集(Web). 2024. 144th
  • 朝田瑞穂, 朝田瑞穂, 長谷川嵩矩, 神山圭, 金森眸, 山本寛人, 内田篤治郎. Deep learning-based prediction model for intraoperative neuromuscular blockade. 日本麻酔科学会学術集会(Web). 2023. 70th
  • 友近七海, 相澤風花, 薗田悠平, 西橋彩香, 宮内奏穂, 合田光寛, 八木健太, 新村貴博, 石澤有紀, 朝田瑞穂, et al. 実験的多発性硬化症モデルマウスに対するウルソデオキシコール酸の治療効果の検討. 次世代を担う若手のための創薬・医療薬理シンポジウムプログラム・要旨集. 2023. 2023
  • 中尾百合子, 黒崎宏太, 朝田瑞穂, 植沢芳広. Construction and evaluation of a Machine Learning prediction model based on chemical structural features of pruritus-inducing drugs. 日本薬学会年会要旨集(Web). 2023. 143rd
more...
Professional career (1):
  • PhD (Meiji Pharmaceutical University)
Work history (4):
  • 2022 - 現在 Tokyo Medical and Dental University Department of Anesthesiology Part-time Lecturer
  • 2022 - 現在 Meiji Pharmaceutical University Dept of Medical Molecular Informatics Assistant Professor
  • 2013 - 2021 Medical Hospital, Tokyo Medical and Dental University Department of Pharmacy
  • 2011 - 2013 Kyoto University Hospital Department of Clinical Pharmacology and Therapeutics
Committee career (1):
  • 2022 - 現在 日本医薬品安全性学会評議委員
Awards (3):
  • 2023/06 - 日本麻酔科学会 優秀演題 ディープラーニングを利用した術中の経時的な筋弛緩深度予測法の開発
  • 2019/10 - The American Association of Pharmaceutical Scientists The 2019 AAPS Best Abstract Award
  • 2017/03 - 東京医科歯科大学 東京医科歯科大学医科同窓会 第20回福岡臨床研究奨励賞
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