Computational pharmacovigilance of Lifitegrast in dry eye disease using machine learning and network toxicology - Top-Institutions - MDSpire

Computational pharmacovigilance of Lifitegrast in dry eye disease using machine learning and network toxicology

  • By

  • Lin Li

  • Shixiang Jing

  • Xuhua Zhao

  • Xinyue Zhu

  • Chunyu Liang

  • Leite Shi

  • Pengyi Zhou

  • Kunpeng Xie

  • Bo Jin

  • Haiyan Zhu

  • Yuying Wang

  • Xuemin Jin

  • Liping Du

  • Peizeng Yang

  • January 9, 2026

  • 0 min

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Top Institutions in Ophthalmology

Brief introduction explaining scope and methodology.

  • #1

    Massachusetts Eye and Ear Infirmary, Harvard Medical School
    Massachusetts Eye and Ear Infirmary, Harvard Medical School

    Boston, MA

    Key Differentiators

    • Ophthalmology
    • Pharmacovigilance
    • Biomedical Informatics

  • #2

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

    Baltimore, MD

    Key Differentiators

    • Ophthalmology
    • Pharmacology
    • Computational Biology

  • #3

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Ophthalmology
    • Biomedical Informatics
    • Pharmacovigilance

  • #4

    University of California, San Francisco (UCSF) School of Medicine
    University of California, San Francisco (UCSF) School of Medicine

    San Francisco, CA

    Key Differentiators

    • Ophthalmology
    • Pharmacovigilance
    • Data Science

  • #5

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Ophthalmology
    • Pharmacology
    • Health Informatics

Original Source(s)

Computational pharmacovigilance of Lifitegrast in dry eye disease using machine learning and network toxicology

  • by Lin Li, Shixiang Jing, Xuhua Zhao, Xinyue Zhu, Chunyu Liang, Leite Shi, Pengyi Zhou, Kunpeng Xie, Bo Jin, Haiyan Zhu, Yuying Wang, Xuemin Jin, Liping Du, Peizeng Yang

  • January 9, 2026

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