Construction of the platform to explore drug target for IPF in Public/Private R&D Investment Strategic Expansion PrograM(PRISM)
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- Nakamura Yoshinori
- Artificial Intelligence Center for Health and Biomedical Research (ArCHER), National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN)
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- Kitamura Hideya
- Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center
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- Ogura Takashi
- Kanagawa Cardiovascular and Respiratory Center
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- Natsume-Kitatani Yayoi
- Laboratory of Bioinformatics, Artificial Intelligence Center for Health and Biomedical Research (ArCHER), National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN)
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- Mizuguchi Kenji
- Artificial Intelligence Center for Health and Biomedical Research (ArCHER), National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN) Institute for Protein Research, Osaka University
Bibliographic Information
- Other Title
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- 官民研究開発投資拡大プログラム(PRISM)で構築する特発性肺線維症に対する創薬標的探索プラットフォームについて
Description
National Institutes of Biomedical Innovation, Health and Nutrition (NIBIOHN) and Kanagawa Cardiovascular and Respiratory Center have built an integrated multi-omics database that constitutes the world’s largest medical information repository for Idiopathic pulmonary fibrosis (Kanagawa Cohort Database) in Public/Private R&D Investment Strategic Expansion PrograM (PRISM). NIBIOHN have also developed AI for the data-driven exploration of drug targets by stratifying patients based on clinical and omics data (comprehensive biomolecular information). In addition to AI to explore drug targets, organizations participating in PRISM have also developed tools for the analysis of clinical text, automatic knowledge extraction, and automatic inference system. NIBOHN plan to launch an open platform to allow researchers both in industry and academia to widely use these systems in FY2022.
Journal
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- MEDCHEM NEWS
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MEDCHEM NEWS 32 (3), 119-123, 2022-08-01
The Pharmaceutical Society of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390574411905871488
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- ISSN
- 24328626
- 24328618
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- Text Lang
- ja
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- Data Source
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- JaLC
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- Abstract License Flag
- Disallowed