Showing 1 - 4 results of 4 for search 'Tsubasa Maeda', query time: 0.03s Refine Results
  1. 1
    Machine learning using clinical data at baseline predicts the medium-term efficacy of ustekinumab in patients with ulcerative colitis

    Machine learning using clinical data at baseline predicts the medium-term efficacy of ustekinumab in patients with ulcerative colitis by Hiromu Morikubo, Ryuta Tojima, Tsubasa Maeda, Katsuyoshi Matsuoka, Minoru Matsuura, Jun Miyoshi, Satoshi Tamura, Tadakazu Hisamatsu

    Published 2024-02-01
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  2. 2
    Forensic investigation of flowslides triggered by the 2018 Sulawesi earthquake

    Forensic investigation of flowslides triggered by the 2018 Sulawesi earthquake by Divyesh Rohit, Hemanta Hazarika, Tsubasa Maeda, Wa Ode Sumartini, Takaji Kokusho, Siavash Manafi Khajeh Pasha, Sukiman Nurdin

    Published 2021-10-01
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  3. 3
    Machine learning using clinical data at baseline predicts the efficacy of vedolizumab at week 22 in patients with ulcerative colitis

    Machine learning using clinical data at baseline predicts the efficacy of vedolizumab at week 22 in patients with ulcerative colitis by Jun Miyoshi, Tsubasa Maeda, Katsuyoshi Matsuoka, Daisuke Saito, Sawako Miyoshi, Minoru Matsuura, Susumu Okamoto, Satoshi Tamura, Tadakazu Hisamatsu

    Published 2021-08-01
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  4. 4
    Enhancement of Photosynthetic Iron-Use Efficiency Is an Important Trait of <i>Hordeum vulgare</i> for Adaptation of Photosystems to Iron Deficiency

    Enhancement of Photosynthetic Iron-Use Efficiency Is an Important Trait of <i>Hordeum vulgare</i> for Adaptation of Photosystems to Iron Deficiency by Akihiro Saito, Shotaro Shinjo, Daiki Ito, Yuko Doi, Akira Sato, Yuna Wakabayashi, Juma Honda, Yuka Arai, Tsubasa Maeda, Takuji Ohyama, Kyoko Higuchi

    Published 2021-01-01
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