Assessing prospective molecular biomarkers and functional pathways in severe asthma based on a machine learning method and bioinformatics analyses.

Journal: The Journal of asthma : official journal of the Association for the Care of Asthma
PMID: 39392250

Abstract

BACKGROUND: Severe asthma, which differs significantly from typical asthma, involves specific molecular biomarkers that enhance our understanding and diagnostic capabilities. The objective of this study is to assess the biological processes underlying severe asthma and to detect key molecular biomarkers.

Authors

  • Ya-Da Zhang
    Department of Pneumology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Yi-Ren Chen
    Department of Radiation Oncology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan.
  • Wei Zhang
    The First Affiliated Hospital of Nanchang University, Nanchang, China.
  • Bin-Qing Tang
    Department of Pneumology, Shanghai Municipal Hospital of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Keywords

External Resources

Popular Topics
Recent Journals