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Satoshi Kuwabara

As seen in: Nature, Wiley Online Library, PLOS ONE, Journal of Neurology, Neurosurgery and Psychiatry, The Lancet, Neurology, myReviewer, Kapanlagi
Associate Editor JNNP
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Articles

Yu-Gi-Oh!: The Dark Side of Dimensions

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By Satoshi Kuwabara, Kazuki Takahashi, Masahiro Hikokubo
| Kapanlagi
Adventure Animation Drama 2017 130 menit PG Rating 6.8/10 Rating 7.5/10 Sutradara Satoshi Kuwabara Penulis Skenario Satoshi Kuwabara Kazuki Takahashi Masahiro Hikokubo Studio Konami Digital Entertainment Nihon Ad Systems (NAS) Shueisha Synopsis Cerita berpusat pada Yugi Muto yang mulai menjalani hidup tanpa kehadiran roh Firaun Atem.
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A genome-wide association study identifies the GPM6A locus associated with age at onset in ALS

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By Ryoichi Nakamura, Genki Tohnai, Naoki Atsuta, Yumi Matsuda, Satoru Morimoto, Daisuke Ito, Masahisa Katsuno, Yuishin Izumi, Mitsuya Morita, Ikuko Iwata, Ichiro Yabe, Nobutaka Hattori, Takehisa Hirayama, Osamu Kano, Naoki Suzuki, Masashi Aoki, Kazumoto Shibuya, Satoshi Kuwabara, Rina Hashimoto, Ikuko Aiba, Tomohiko Ishihara, Osamu Onodera, Toru Yamashita, Hiroyuki Ishiura, Kota Bokuda, Toshio Shimizu, Yoshio Ikeda, Kazuko Hasegawa, Fumiaki Tanaka, Takanori Yokota, Ryuji Kaji, Hirohisa Watanabe, Tomoko Konishi, Jun-ichi Niwa, Manabu Doyu, Yohei Okada, Shiho Nakamura, Fumiko Ozawa, Hideyuki Okano, Masahiro Nakatochi, Tomoko Nakazato, Asako Tamura, Masaya Oda, Kazuaki Kanai, Yu-ichi Noto, Mikiko Hasegawa, Hozuki Fukaya
| Nature Verified
Abstract Amyotrophic lateral sclerosis (ALS) exhibits considerable clinical variability, such as differences in age at onset (AAO). Multiple factors, including genetic factors, may underlie this variability; however, the specific determinants remain unclear. To identify genes affecting AAO, we have conducted a genome-wide association study in Japanese patients with ALS (discovery cohort: n = 1808; replication cohort: n = 207).
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Predicting achievement of clinical goals using machine learning in myasthenia gravis

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By Hiroyuki Akamine, Akiyuki Uzawa, Satoshi Kuwabara, Shigeaki Suzuki
| PLOS ONE
Loading metrics Open Access Peer-reviewed Research Article Citation: Akamine H, Uzawa A, Kuwabara S, Suzuki S, Onishi Y, Yasuda M, et al. (2025) Predicting achievement of clinical goals using machine learning in myasthenia gravis. PLoS One 20(8): e0330044.
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