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Matsuda Naoki  松田 直毅

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… Alternative Names

松田 直穀  マツダ ナオキ

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Researcher Number 80909490
Affiliation (Current) 2025: 東北工業大学, 工学部, 助教
Affiliation (based on the past Project Information) *help 2025: 東北工業大学, 工学部, 助教
2021 – 2023: 東北工業大学, 工学部, 助教
Review Section/Research Field
Principal Investigator
Basic Section 47060:Clinical pharmacy-related / Basic Section 62010:Life, health and medical informatics-related / 0403:Biomedical engineering and related fields
Keywords
Principal Investigator
in vitro / 機械学習 / 神経毒性 / 脳・神経 / 心毒性 / CMOS-MEA / ヒトiPS由来心筋細胞 / カルシウムイメージング / 同期バースト / 同期バースト発火 / 微小電極アレイ
  • Research Projects

    (3 results)
  • Research Products

    (4 results)
  •  Development of a method to predict the mechanism of action of compounds using field potential Imaging in human iPSC- derived CardiomyocytesPrincipal Investigator

    • Principal Investigator
      松田 直毅
    • Project Period (FY)
      2025 – 2026
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 47060:Clinical pharmacy-related
    • Research Institution
      Tohoku Institute of Technology
  •  Predicting Seizure Liability of Pharmaceuticals Using Machine Learning on Ca ImagingPrincipal Investigator

    • Principal Investigator
      Matsuda Naoki
    • Project Period (FY)
      2022 – 2023
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 62010:Life, health and medical informatics-related
    • Research Institution
      Tohoku Institute of Technology
  •  Development of AI for the Detection of Synchronous Burst Firing in Neural Circuit ActivityPrincipal Investigator

    • Principal Investigator
      Matsuda Naoki
    • Project Period (FY)
      2021 – 2022
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Review Section
      0403:Biomedical engineering and related fields
    • Research Institution
      Tohoku Institute of Technology

All 2022

All Presentation

  • [Presentation] 高時間分解能を有する電気イメージングによる化合物の神経応答2022

    • Author(s)
      松田直毅, 韓笑波, 柴田実可子, 永福菜美, 石橋勇人, 鈴木郁郎
    • Organizer
      第13回スクリーニング学研究会
    • Data Source
      KAKENHI-PROJECT-21K20519
  • [Presentation] 236,880電極CMOS-MEAを用いたヒトiPS細胞由来ニューラルネットワークの電気活動のシングル細胞解析2022

    • Author(s)
      松田直毅, 韓笑波, 鈴木郁郎
    • Organizer
      第96回日本薬理学会学術年会
    • Data Source
      KAKENHI-PROJECT-21K20519
  • [Presentation] 機械学習を用いたMEAにおけるバースト検出法の開発2022

    • Author(s)
      松田 直毅
    • Organizer
      第13回日本安全性薬理研究会学術年会
    • Data Source
      KAKENHI-PROJECT-21K20519
  • [Presentation] MEA計測による脳オルガノイドの電気活動評価2022

    • Author(s)
      永福菜美, 柴田実可子, 松田直毅, 鈴木郁郎
    • Organizer
      第49回日本毒性学会
    • Data Source
      KAKENHI-PROJECT-21K20519

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