Forecasting Pneumonitis Associated with Immune Checkpoint Inhibitors in Lung Cancer: Creation and Assessment of Various Machine Learning Models - Top-Institutions - MDSpire

Forecasting Pneumonitis Associated with Immune Checkpoint Inhibitors in Lung Cancer: Creation and Assessment of Various Machine Learning Models

  • By

  • Yuxin Li

  • Yang Ji

  • Chunxiao Wang

  • Chunhui Qin

  • Kang Yu

  • Ling Liu

  • Jiahui Chen

  • Wei Meng

  • Tong Zhang

  • February 20, 2026

  • 0 min

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Top Institutions in Oncology

Brief introduction explaining scope and methodology.

  • #1

    Memorial Sloan Kettering Cancer Center
    Memorial Sloan Kettering Cancer Center

    New York, NY

    Key Differentiators

    • Medical Oncology
    • Pulmonology
    • Immunotherapy

  • #2

    Dana-Farber Cancer Institute
    Dana-Farber Cancer Institute

    Boston, MA

    Key Differentiators

    • Medical Oncology
    • Pulmonology
    • Computational Medicine

  • #3

    MD Anderson Cancer Center
    MD Anderson Cancer Center

    Houston, TX

    Key Differentiators

    • Medical Oncology
    • Pulmonology
    • Bioinformatics

  • #4

    Johns Hopkins Medicine
    Johns Hopkins Medicine

    Baltimore, MD

    Key Differentiators

    • Pulmonology
    • Medical Oncology
    • Machine Learning in Medicine

  • #5

    University of California, San Francisco (UCSF) Medical Center
    University of California, San Francisco (UCSF) Medical Center

    San Francisco, CA

    Key Differentiators

    • Medical Oncology
    • Pulmonology
    • Clinical Informatics

Original Source(s)

Forecasting Pneumonitis Associated with Immune Checkpoint Inhibitors in Lung Cancer: Creation and Assessment of Various Machine Learning Models

  • by Yuxin Li, Yang Ji, Chunxiao Wang, Chunhui Qin, Kang Yu, Ling Liu, Jiahui Chen, Wei Meng, Tong Zhang

  • February 20, 2026

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