A device-invariant multi-modal learning framework for respiratory disease classification - Top-Institutions - MDSpire

A device-invariant multi-modal learning framework for respiratory disease classification

  • By

  • Mo Yang

  • Xuefei Liu

  • Wei Du

  • Yang Liu

  • Wenyu Zhu

  • Zhaoyang Bu

  • Jiaxuan Mao

  • Qian Wang

  • Si Chen

  • Min Zhou

  • Jie-ming Qu

  • February 26, 2026

  • 0 min

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Top Institutions in Pulmonary

Brief introduction explaining scope and methodology.

  • #1

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Respiratory Medicine
    • Biomedical Engineering
    • Artificial Intelligence

  • #2

    Massachusetts Institute of Technology (MIT)
    Massachusetts Institute of Technology (MIT)

    Cambridge, MA

    Key Differentiators

    • Artificial Intelligence
    • Biomedical Engineering
    • Respiratory Disease Modeling

  • #3

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

    San Francisco, CA

    Key Differentiators

    • Pulmonology
    • Clinical Informatics
    • AI in Healthcare

  • #4

    Imperial College London
    Imperial College London

    London, N/A

    Key Differentiators

    • Respiratory Medicine
    • Machine Learning
    • Digital Health

  • #5

    Mayo Clinic
    Mayo Clinic

    Rochester, MN

    Key Differentiators

    • Pulmonology
    • Clinical AI Research
    • Biomedical Informatics

Original Source(s)

A device-invariant multi-modal learning framework for respiratory disease classification

  • by Mo Yang, Xuefei Liu, Wei Du, Yang Liu, Wenyu Zhu, Zhaoyang Bu, Jiaxuan Mao, Qian Wang, Si Chen, Min Zhou, Jie-ming Qu

  • February 26, 2026

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