Single-Cell Sequencing and Machine Learning Integration to Identify Candidate Biomarkers in Psoriasis: .

Journal: Journal of inflammation research
Published Date: Dec 24, 2024

Abstract

BACKGROUND: Psoriasis represents a persistent, immune-driven inflammatory condition affecting the skin, characterized by a lack of well-established biologic treatments without adverse events. Consequently, the identification of novel targets and therapeutic agents remains a pressing priority in the field of psoriasis research.

Authors

  • Xiangnan Zhou
    Department of Dermatology, China-Japan Friendship Hospital, National Center for Integrative Medicine, Beijing, 100029, People's Republic of China.
  • Jingyuan Ning
    State Key Laboratory of Medical Molecular Biology & Department of Medical Genetics, Institute of Basic Medical Sciences & School of Basic Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100005, People's Republic of China.
  • Rui Cai
    Beijing University of Chinese Medicine, China-Japan Friendship Clinical School of Medicine, Beijing, 100029, People's Republic of China.
  • Jiayi Liu
    Beijing University of Chinese Medicine, China-Japan Friendship Clinical School of Medicine, Beijing, 100029, People's Republic of China.
  • Haoyu Yang
    Department of Dermatology, Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, People's Republic of China.
  • Yanping Bai
    Department of Dermatology, China-Japan Friendship Hospital, National Center for Integrative Medicine, Beijing, 100029, People's Republic of China.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals