Machine-Learning-Based Prediction of Long-Term Efficacy of Nemolizumab: Post Hoc Analysis of Pooled Data from Two Phase III Clinical Trials - Top-Institutions - MDSpire

Machine-Learning-Based Prediction of Long-Term Efficacy of Nemolizumab: Post Hoc Analysis of Pooled Data from Two Phase III Clinical Trials

  • By

  • Makoto Kawashima

  • Tomoya Maeda

  • Kotaro Iwasaki

  • Masashi Takizawa

  • Noriaki Kaneda

  • Kenji Kabashima

  • May 15, 2026

  • 0 min

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Top Institutions in Dermatology

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins University School of Medicine
    Johns Hopkins University School of Medicine

    Baltimore, Maryland

    Key Differentiators

    • Dermatology
    • Machine Learning

  • #2

    University of Miami Miller School of Medicine
    University of Miami Miller School of Medicine

    Miami, Florida

    Key Differentiators

    • Dermatology
    • Machine Learning

Original Source(s)

Machine-Learning-Based Prediction of Long-Term Efficacy of Nemolizumab: Post Hoc Analysis of Pooled Data from Two Phase III Clinical Trials

  • by Makoto Kawashima, Tomoya Maeda, Kotaro Iwasaki, Masashi Takizawa, Noriaki Kaneda, Kenji Kabashima

  • May 15, 2026

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