Ieki Hirotaka 家城博隆

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家城博隆イエキヒロタカ

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Researcher Number	30932834
Other IDs
Affiliation (Current)	2025: 国立研究開発法人理化学研究所, 生命医科学研究センター, 学振特別研究員CPD
Affiliation (based on the past Project Information) *help	2022 – 2023: 国立研究開発法人理化学研究所, 生命医科学研究センター, 訪問研究員 2022: 国立研究開発法人理化学研究所, 生命医科学研究センター, 特別研究員(CPD)
Review Section/Research Field	Principal Investigator Basic Section 53020:Cardiology-related Except Principal Investigator Basic Section 53020:Cardiology-related
Keywords	Principal Investigator 人工知能 / ゲノム / 遺伝的リスクスコア / ゲノム医療 / 虚血性心疾患 Except Principal Investigator 胸部X線 / 全ゲノムシークエンス / 機械学習 / 心筋梗塞

Artificial intelligence-based genome analysis of coronary artery disease to realize precision healthPrincipal Investigator
- Principal Investigator
  
  家城博隆
- Project Period (FY)
  2022 – 2025
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 53020:Cardiology-related
- Research Institution
  Institute of Physical and Chemical Research
Multi-omics data analysis using machine learning for precision medicine in coronary artery diseaseResearch Fellow
- Principal Investigator
  
  家城博隆
- Research Fellow
  
  家城博隆
- Project Period (FY)
  2022 – 2026
- Research Category
  
  Grant-in-Aid for JSPS Fellows
- Review Section
  
  Basic Section 53020:Cardiology-related
- Research Institution
  Institute of Physical and Chemical Research

All 2023 2022

All Journal Article

[Journal Article] Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction2023
- Author(s)
  Miyazawa Kazuo、Ito Kaoru、Ito Masamichi、Zou Zhaonan、Kubota Masayuki、Nomura Seitaro、Matsunaga Hiroshi、Koyama Satoshi、Ieki Hirotaka、et al.
- Journal Title
  
  Nature Genetics
  
  Volume: 55 Issue: 2 Pages: 187-197
- DOI
  10.1038/s41588-022-01284-9
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-22K16128, KAKENHI-PROJECT-21H05045, KAKENHI-PROJECT-21H02919, KAKENHI-PROJECT-20J01343, KAKENHI-PROJECT-22KJ1890, KAKENHI-PROJECT-19H03649, KAKENHI-PROJECT-21K08023, KAKENHI-PROJECT-22H00471, KAKENHI-PROJECT-22KJ3142, KAKENHI-PROJECT-20H03525, KAKENHI-PROJECT-23K24602
[Journal Article] 超の世界　“X線年齢という新しい健康指標 - レントゲン写真一枚から手軽に算出”2023
- Author(s)
  伊藤　薫、家城　博隆
- Journal Title
  
  自動車技術
  
  Volume: 77 Pages: 132-134
- Data Source
  KAKENHI-PROJECT-22K16128
[Journal Article] 超の世界 “X線年齢という新しい健康指標 - レントゲン写真一枚から手軽に算出”2023
- Author(s)
  伊藤薫、家城博隆
- Journal Title
  
  自動車技術
  
  Volume: 77 Pages: 132-134
- Data Source
  KAKENHI-PROJECT-22KJ3142
[Journal Article] Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosis2022
- Author(s)
  Ieki Hirotaka、Ito Kaoru、Saji Mike、Kawakami Rei、Nagatomo Yuji、Takada Kaori、Kariyasu Toshiya、Machida Haruhiko、Koyama Satoshi、Yoshida Hiroki、Kurosawa Ryo、Matsunaga Hiroshi、Miyazawa Kazuo、Ozaki Kouichi、Onouchi Yoshihiro、Katsushika Susumu
- Journal Title
  
  Communications Medicine
  
  Volume: 2 Issue: 1 Pages: 159-159
- DOI
  10.1038/s43856-022-00220-6
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18K07643, KAKENHI-PROJECT-22K16128, KAKENHI-PROJECT-21H02919, KAKENHI-PROJECT-21K08023, KAKENHI-PROJECT-22KJ3142

1. 町田治彦

# of Collaborated Projects: 0 results

# of Collaborated Products: 1 results

Ieki Hirotaka 家城博隆

家城博隆イエキヒロタカ

Research Projects

Research Products

Co-Researchers

Artificial intelligence-based genome analysis of coronary artery disease to realize precision healthPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Multi-omics data analysis using machine learning for precision medicine in coronary artery diseaseResearch Fellow

Principal Investigator

Research Fellow

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] 超の世界　“X線年齢という新しい健康指標 - レントゲン写真一枚から手軽に算出”2023

Author(s)

Journal Title

Data Source

[Journal Article] 超の世界 “X線年齢という新しい健康指標 - レントゲン写真一枚から手軽に算出”2023

Author(s)

Journal Title

Data Source

[Journal Article] Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosis2022

Author(s)

Journal Title

DOI

Data Source

Ieki Hirotaka 家城 博隆

家城 博隆 イエキ ヒロタカ

Research Projects

Research Products

Co-Researchers

Artificial intelligence-based genome analysis of coronary artery disease to realize precision healthPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Multi-omics data analysis using machine learning for precision medicine in coronary artery diseaseResearch Fellow

Principal Investigator

Research Fellow

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] 超の世界 “X線年齢という新しい健康指標 - レントゲン写真一枚から手軽に算出”2023

Author(s)

Journal Title

Data Source

[Journal Article] 超の世界 “X線年齢という新しい健康指標 - レントゲン写真一枚から手軽に算出”2023

Author(s)

Journal Title

Data Source

[Journal Article] Deep learning-based age estimation from chest X-rays indicates cardiovascular prognosis2022

Author(s)

Journal Title

DOI

Data Source

Ieki Hirotaka 家城博隆

家城博隆イエキヒロタカ

[Journal Article] 超の世界　“X線年齢という新しい健康指標 - レントゲン写真一枚から手軽に算出”2023