Imai Shungo 今井俊吾

Researcher Number	40845070
Other IDs
Affiliation (Current)	2025: 慶應義塾大学, 薬学部(芝共立), 准教授
Affiliation (based on the past Project Information) *help	2025: 慶應義塾大学, 薬学部(芝共立), 講師 2022 – 2023: 慶應義塾大学, 薬学部(芝共立), 講師 2019 – 2021: 北海道大学, 薬学研究院, 助教
Review Section/Research Field	Principal Investigator Basic Section 47060:Clinical pharmacy-related / 0801:Pharmaceutical sciences and related fields Except Principal Investigator Basic Section 47060:Clinical pharmacy-related
Keywords	Principal Investigator 機械学習 / 治療薬物モニタリング / バンコマイシン / 薬物動態 / 薬剤投与設計 / 骨格筋障害 / ダプトマイシン / 腎機能障害 / データマイニング / 決定木分析 … More Except Principal Investigator … More 血小板減少症 / 唾液 / TDM / テジゾリド / リネゾリド / 唾液中濃度 Less

データ駆動型アプローチによる新規レセプト傷病名バリデーション手法の構築と外部検証Principal Investigator
- Principal Investigator
  
  今井俊吾
- Project Period (FY)
  2025 – 2027
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 47060:Clinical pharmacy-related
- Research Institution
  Keio University
Therapeutic drug monitoring of anti-MRSA agents, oxazolidinones by salivary concentration, and dose optimization
- Principal Investigator
  
  Takekuma Yoh
- Project Period (FY)
  2021 – 2023
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 47060:Clinical pharmacy-related
- Research Institution
  Hokkaido University
Development of a novel algorithm for drug dose settings using machine learning methodPrincipal Investigator
- Principal Investigator
  
  Imai Shungo
- Project Period (FY)
  2020 – 2023
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 47060:Clinical pharmacy-related
- Research Institution
  Keio University
  Hokkaido University
Construction of a risk prediction model of adverse drug reactions using decision tree analysisPrincipal Investigator
- Principal Investigator
  
  Imai Shungo
- Project Period (FY)
  2019 – 2020
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  0801:Pharmaceutical sciences and related fields
- Research Institution
  Hokkaido University

All 2024 2023 2022 2021 2020

All Journal Article Presentation

[Journal Article] Use of Japanese big data from electronic medical records to investigate risk factors and identify their high-risk combinations for linezolid-induced thrombocytopenia2023
- Author(s)
  Inoue Yuki、Takekuma Yoh、Miyai Takayuki、Kashiwagi Hitoshi、Sato Yuki、Sugawara Mitsuru、Imai Shungo
- Journal Title
  
  European Journal of Clinical Pharmacology
  
  Volume: 79 Pages: 415-425
- DOI
  10.1007/s00228-023-03455-x
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-21K06684
[Journal Article] Machine Learning-Based Model for Estimating Vancomycin Maintenance Dose to Target the Area under the Concentration Curve of 400–600 mg·h/L in Japanese Patients2022
- Author(s)
  Miyai Takayuki、Imai Shungo、Yoshimura Eri、Kashiwagi Hitoshi、Sato Yuki、Ueno Hidefumi、Takekuma Yoh、Sugawara Mitsuru
- Journal Title
  
  Biological and Pharmaceutical Bulletin
  
  Volume: 45 Issue: 9 Pages: 1332-1339
- DOI
  10.1248/bpb.b22-00305
- ISSN
  0918-6158, 1347-5215
- Year and Date
  2022-09-01
- Language
  English
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20K16035
[Journal Article] A Risk Prediction Flowchart of Vancomycin-Induced Acute Kidney Injury to Use When Starting Vancomycin Administration: A Multicenter Retrospective Study2020
- Author(s)
  Miyai Takayuki、Imai Shungo、Kashiwagi Hitoshi、Sato Yuki、Kadomura Shota、Yoshida Kenji、Yoshimura Eri、Teraya Toshiaki、Tsujimoto Takashi、Kawamoto Yukari、Itoh Tatsuya、Ueno Hidefumi、Goto Yoshikazu、Takekuma Yoh、Sugawara Mitsuru
- Journal Title
  
  Antibiotics
  
  Volume: 9 Issue: 12 Pages: 920-920
- DOI
  10.3390/antibiotics9120920
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K23791
[Presentation] 機械学習と医療ビッグデータを駆使したデータ駆動型臨床薬学研究の実践2024
- Author(s)
  今井俊吾
- Organizer
  日本薬学会第144年会
- Invited
- Data Source
  KAKENHI-PROJECT-20K16035
[Presentation] 医療ビッグデータを基軸としたデータ駆動型臨床薬学研究の実践2023
- Author(s)
  今井俊吾
- Organizer
  日本薬学会第143年会
- Invited
- Data Source
  KAKENHI-PROJECT-20K16035
[Presentation] 医療ビッグデータと機械学習のチカラで、患者アウトカム改善を目指す！2023
- Author(s)
  今井俊吾
- Organizer
  第33回日本医療薬学会年会
- Invited
- Data Source
  KAKENHI-PROJECT-20K16035
[Presentation] ビッグデータと機械学習の活用による抗菌薬適正使用に向けたエビデンス構築2022
- Author(s)
  今井俊吾
- Organizer
  第32回日本医療薬学会年会
- Invited
- Data Source
  KAKENHI-PROJECT-20K16035
[Presentation] ビッグデータとデータマイニング手法を用いたリネゾリド誘発性血小板減少症の要因分析2022
- Author(s)
  井上優希、武隈洋、宮井貴之、柏木仁、佐藤夕紀、菅原満、今井俊吾
- Organizer
  日本薬学会　第142年会
- Data Source
  KAKENHI-PROJECT-21K06684
[Presentation] バンコマイシンによる腎機能障害リスクを投与開始前に推定するためのフローチャートの構築～感染症診療におけるデータマイニング手法の活用～2021
- Author(s)
  宮井貴之、今井俊吾、菅原　満
- Organizer
  日本薬学会第141年会
- Invited
- Data Source
  KAKENHI-PROJECT-19K23791
[Presentation] A new algorithm optimized for initial dose settings of vancomycin using machine learning2020
- Author(s)
  Shungo Imai, Yoh Takekuma, Hitoshi Kashiwagi, Takayuki Miyai, Mitsuru Sugawara
- Organizer
  18th Congress of the International Association of Therapeutic Drug Monitoring & Clinical Toxicology. 2020
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20K16035

1. Takekuma Yoh (00396293)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results
2. 佐藤夕紀 (00564981)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results

Imai Shungo 今井 俊吾

Research Projects

Research Products

Co-Researchers

データ駆動型アプローチによる新規レセプト傷病名バリデーション手法の構築と外部検証Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Therapeutic drug monitoring of anti-MRSA agents, oxazolidinones by salivary concentration, and dose optimization

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of a novel algorithm for drug dose settings using machine learning methodPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Construction of a risk prediction model of adverse drug reactions using decision tree analysisPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Use of Japanese big data from electronic medical records to investigate risk factors and identify their high-risk combinations for linezolid-induced thrombocytopenia2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Machine Learning-Based Model for Estimating Vancomycin Maintenance Dose to Target the Area under the Concentration Curve of 400–600 mg·h/L in Japanese Patients2022

Author(s)

Journal Title

DOI

ISSN

Year and Date

Language

Data Source

[Journal Article] A Risk Prediction Flowchart of Vancomycin-Induced Acute Kidney Injury to Use When Starting Vancomycin Administration: A Multicenter Retrospective Study2020

Author(s)

Journal Title

DOI

Data Source

[Presentation] 機械学習と医療ビッグデータを駆使したデータ駆動型臨床薬学研究の実践2024

Author(s)

Organizer

Data Source

[Presentation] 医療ビッグデータを基軸としたデータ駆動型臨床薬学研究の実践2023

Author(s)

Organizer

Data Source

[Presentation] 医療ビッグデータと機械学習のチカラで、患者アウトカム改善を目指す！2023

Author(s)

Organizer

Data Source

[Presentation] ビッグデータと機械学習の活用による抗菌薬適正使用に向けたエビデンス構築2022

Author(s)

Organizer

Data Source

[Presentation] ビッグデータとデータマイニング手法を用いたリネゾリド誘発性血小板減少症の要因分析2022

Author(s)

Organizer

Data Source

[Presentation] バンコマイシンによる腎機能障害リスクを投与開始前に推定するためのフローチャートの構築 ～感染症診療におけるデータマイニング手法の活用～2021

Author(s)

Organizer

Data Source

[Presentation] A new algorithm optimized for initial dose settings of vancomycin using machine learning2020

Author(s)

Organizer

Data Source

Imai Shungo 今井俊吾

[Presentation] バンコマイシンによる腎機能障害リスクを投与開始前に推定するためのフローチャートの構築～感染症診療におけるデータマイニング手法の活用～2021