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タイトル: | Prediction Model of Amyotrophic Lateral Sclerosis by Deep Learning with Patient Induced Pluripotent Stem Cells |
著者: | Imamura, Keiko Yada, Yuichiro Izumi, Yuishin Morita, Mitsuya Kawata, Akihiro Arisato, Takayo Nagahashi, Ayako Enami, Takako Tsukita, Kayoko Kawakami, Hideshi Nakagawa, Masanori Takahashi, Ryosuke https://orcid.org/0000-0002-1407-9640 (unconfirmed) Inoue, Haruhisa https://orcid.org/0000-0003-4736-9537 (unconfirmed) |
著者名の別形: | 今村, 恵子 矢田, 祐一郎 和泉, 唯信 森田, 光哉 川田, 明広 有里, 敬代 永橋, 文子 江浪, 貴子 月田, 香代子 川上, 秀史 中川, 正法 髙橋, 良輔 井上, 治久 |
発行日: | 2021 |
出版者: | Wiley |
誌名: | Annals of Neurology |
抄録: | In amyotrophic lateral sclerosis (ALS), early diagnosis is essential for both current and potential treatments. To find a supportive approach for the diagnosis, we constructed an artificial intelligence‐based prediction model of ALS using induced pluripotent stem cells (iPSCs). Images of spinal motor neurons derived from healthy control subject and ALS patient iPSCs were analyzed by a convolutional neural network, and the algorithm achieved an area under the curve of 0.97 for classifying healthy control and ALS. This prediction model by deep learning algorithm with iPSC technology could support the diagnosis and may provide proactive treatment of ALS through future prospective research. ANN NEUROL 2021 |
記述: | Deep LearningとALS iPS細胞を用いた疾患予測テクノロジー --人工知能のALS検知・診断への応用--. 京都大学プレスリリース. 2021-02-24. Deep learning amyotrophic lateral sclerosis by taking pictures. 京都大学プレスリリース. 2021-02-24. |
著作権等: | © 2021 The Authors. Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
URI: | http://hdl.handle.net/2433/261816 |
DOI(出版社版): | 10.1002/ana.26047 |
PubMed ID: | 33565152 |
関連リンク: | https://www.cira.kyoto-u.ac.jp/j/pressrelease/news/210224-100000.html https://www.cira.kyoto-u.ac.jp/e/pressrelease/news/210224-100000.html |
出現コレクション: | 学術雑誌掲載論文等 |
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