Yada Yuichiro 矢田祐一郎

Researcher Number	80805797
Other IDs	https://orcid.org/0000-0003-2277-9951
Affiliation (Current)	2024: 名古屋大学, 医学系研究科, 特任講師
Affiliation (based on the past Project Information) *help	2023: 広島大学, 統合生命科学研究科(理), 特任助教 2021: 広島大学, 統合生命科学研究科(理), 研究員 2018 – 2020: 国立研究開発法人理化学研究所, バイオリソース研究センター, 特別研究員 2017: 国立研究開発法人理化学研究所, バイオリソースセンター, 特別研究員
Review Section/Research Field	Principal Investigator Basic Section 62010:Life, health and medical informatics-related / Basic Section 90110:Biomedical engineering-related / Biomedical engineering/Biomaterial science and engineering Except Principal Investigator Studies on the Super-Aging Society
Keywords	Principal Investigator 神経同期活動 / 多点電極アレイ / 疾患患者層別化 / iPS細胞 / 筋萎縮性側索硬化症 / 連続時間隠れマルコフモデル / 神経変性疾患 / パターン解析 / 神経細胞 / 活動多様性 … More / 疾患特異的iPS細胞 / 脆弱X症候群 / ワーキングメモリ / 神経工学 / iPS細胞由来神経細胞 … More Except Principal Investigator iPS細胞 / アルツハイマー病 / 超高齢社会 / 神経変性 / deep learning / Deep learning / データサイエンス / 診断 / 超早期病態 / Deep Learning / ALS Less

Predicting progression of neurodegenerative disease by using continuous-time hidden Markov model and induced pluripotent stem cells.\Principal Investigator
- Principal Investigator
  
  矢田祐一郎
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 62010:Life, health and medical informatics-related
- Research Institution
  Hiroshima University
Evaluation and application of the diversity of activity patterns in the population of fragile X syndrome neuronsPrincipal Investigator
- Principal Investigator
  
  Yuichiro Yada
- Project Period (FY)
  2019 – 2021
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 90110:Biomedical engineering-related
- Research Institution
  Hiroshima University
  Institute of Physical and Chemical Research
Imaging studies of neurodegeneration by deep learning
- Principal Investigator
  
  Haruhisa Inoue
- Project Period (FY)
  2018 – 2020
- Research Category
  
  Grant-in-Aid for Challenging Research (Exploratory)
- Review Section
  
  Studies on the Super-Aging Society
- Research Institution
  Kyoto University
Development of iPS cell-based functional working memory model in vitroPrincipal Investigator
- Principal Investigator
  
  Yada Yuichiro
- Project Period (FY)
  2017 – 2018
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Research Field
  
  Biomedical engineering/Biomaterial science and engineering
- Research Institution
  Institute of Physical and Chemical Research

All 2024 2023 2022 2021 2020 2019

All Journal Article Presentation

[Journal Article] Prediction Model of Amyotrophic Lateral Sclerosis by Deep Learning with Patient Induced Pluripotent Stem Cells2021
- Author(s)
  Imamura Keiko、Yada Yuichiro、Izumi Yuishin、Morita Mitsuya、Kawata Akihiro、Arisato Takayo、Nagahashi Ayako、Enami Takako、Tsukita Kayoko、Kawakami Hideshi、Nakagawa Masanori、Takahashi Ryosuke、Inoue Haruhisa
- Journal Title
  
  Annals of Neurology
  
  Volume: in press Issue: 6 Pages: 26047-26047
- DOI
  10.1002/ana.26047
- NAID
  120006979780
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20683, KAKENHI-PROJECT-18H02717, KAKENHI-PROJECT-18K18452, KAKENHI-PROJECT-21H04818
[Journal Article] Human induced pluripotent stem cells generated from a patient with idiopathic basal ganglia calcification2021
- Author(s)
  Yada Yuichiro、Kondo Takayuki、Suga Mika、Tsukita Kayoko、Enami Takako、Shibukawa Ran、Sagara Yukako、Okanishi Yasue、Imamura Keiko、Kihara Takeshi、Inoue Haruhisa
- Journal Title
  
  Stem Cell Research
  
  Volume: 53 Pages: 102274-102274
- DOI
  10.1016/j.scr.2021.102274
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-19K20683
[Journal Article] Generation of a human induced pluripotent stem cell line, BRCi009-A, derived from a patient with glycogen storage disease type 1a2020
- Author(s)
  Katagami Yukimi、Kondo Takayuki、Suga Mika、Yada Yuichiro、Imamura Keiko、Shibukawa Ran、Sagara Yukako、Okanishi Yasue、Tsukita Kayoko、Hirayama Kenji、Era Takumi、Inoue Haruhisa
- Journal Title
  
  Stem Cell Research
  
  Volume: 49 Pages: 102095-102095
- DOI
  10.1016/j.scr.2020.102095
- NAID
  120006980737
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-18H02717, KAKENHI-PROJECT-18K18452
[Journal Article] Development of Network Structure and Synchronized Firing Patterns in Dissociated Culture of Neurons2019
- Author(s)
  鹿山敦至, 矢田祐一郎, 高橋宏知
- Journal Title
  
  IEEJ Transactions on Electronics, Information and Systems
  
  Volume: 139 Issue: 5 Pages: 570-578
- DOI
  10.1541/ieejeiss.139.570
- NAID
  130007641353
- ISSN
  0385-4221, 1348-8155
- Year and Date
  2019-05-01
- Language
  Japanese
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-17H07358
[Presentation] 個人差の大きい筋萎縮性側索硬化症進行のモデリング2024
- Author(s)
  矢田祐一郎、本田直樹
- Organizer
  定量生物学の会　第十一回年会
- Data Source
  KAKENHI-PROJECT-23K16994
[Presentation] 速度とパターンによる筋萎縮性側索硬化症の層別化手法2024
- Author(s)
  矢田祐一郎
- Organizer
  第8回理論免疫学ワークショップ
- Data Source
  KAKENHI-PROJECT-23K16994
[Presentation] 機械学習モデルを使った神経変性疾患研究2024
- Author(s)
  矢田祐一郎
- Organizer
  第15回理研けいはんなセミナー
- Invited
- Data Source
  KAKENHI-PROJECT-23K16994
[Presentation] Estimation of hidden progression speed in amyotrophic lateral sclerosis2023
- Author(s)
  矢田祐一郎、本田直樹
- Organizer
  第46回日本神経科学大会
- Data Source
  KAKENHI-PROJECT-23K16994
[Presentation] Modeling of heterogeneity of amyotrophic lateral sclerosis progress by continuous hidden Markov model2023
- Author(s)
  矢田祐一郎、本田直樹
- Organizer
  第12回生命医歯薬情報学連合大会
- Data Source
  KAKENHI-PROJECT-23K16994
[Presentation] 連続時間隠れマルコフモデルによる個人差の大きい筋萎縮性側索硬化症進行のモデル化2023
- Author(s)
  矢田祐一郎、本田直樹
- Organizer
  2023年度日本数理生物学会年会
- Data Source
  KAKENHI-PROJECT-23K16994
[Presentation] 2次元神経細胞集団の活動多様性と応用2022
- Author(s)
  矢田祐一郎
- Organizer
  第６回理論免疫学ワークショップ
- Data Source
  KAKENHI-PROJECT-19K20683

1. Haruhisa Inoue (70332327)

# of Collaborated Projects: 2 results

# of Collaborated Products: 1 results
2. 近藤孝之 (80536566)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results
3. Imamura Keiko

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results

Yada Yuichiro 矢田 祐一郎

Research Projects

Research Products

Co-Researchers

Predicting progression of neurodegenerative disease by using continuous-time hidden Markov model and induced pluripotent stem cells.\Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Evaluation and application of the diversity of activity patterns in the population of fragile X syndrome neuronsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Imaging studies of neurodegeneration by deep learning

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of iPS cell-based functional working memory model in vitroPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Journal Article] Prediction Model of Amyotrophic Lateral Sclerosis by Deep Learning with Patient Induced Pluripotent Stem Cells2021

Author(s)

Journal Title

DOI

NAID

Data Source

[Journal Article] Human induced pluripotent stem cells generated from a patient with idiopathic basal ganglia calcification2021

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Generation of a human induced pluripotent stem cell line, BRCi009-A, derived from a patient with glycogen storage disease type 1a2020

Author(s)

Journal Title

DOI

NAID

Data Source

[Journal Article] Development of Network Structure and Synchronized Firing Patterns in Dissociated Culture of Neurons2019

Author(s)

Journal Title

DOI

NAID

ISSN

Year and Date

Language

Data Source

[Presentation] 個人差の大きい筋萎縮性側索硬化症進行のモデリング2024

Author(s)

Organizer

Data Source

[Presentation] 速度とパターンによる筋萎縮性側索硬化症の層別化手法2024

Author(s)

Organizer

Data Source

[Presentation] 機械学習モデルを使った神経変性疾患研究2024

Author(s)

Organizer

Data Source

[Presentation] Estimation of hidden progression speed in amyotrophic lateral sclerosis2023

Author(s)

Organizer

Data Source

[Presentation] Modeling of heterogeneity of amyotrophic lateral sclerosis progress by continuous hidden Markov model2023

Author(s)

Organizer

Data Source

[Presentation] 連続時間隠れマルコフモデルによる個人差の大きい筋萎縮性側索硬化症進行のモデル化2023

Author(s)

Organizer

Data Source

[Presentation] 2次元神経細胞集団の活動多様性と応用2022

Author(s)

Yada Yuichiro 矢田祐一郎