Rapid diagnosis of rheumatoid arthritis and ankylosing spondylitis based on Fourier transform infrared spectroscopy and deep learning.

Journal: Photodiagnosis and photodynamic therapy
PMID: 37931694

Abstract

OBJECTIVE: Rheumatoid arthritis and Ankylosing spondylitis are two common autoimmune inflammatory rheumatic diseases that negatively affect activities of daily living and can lead to structural and functional disability, reduced quality of life. Here, this study utilized Fourier transform infrared (FTIR) spectroscopy on dried serum samples and achieved early diagnosis of rheumatoid arthritis and ankylosing spondylitis based on deep learning models.

Authors

  • Wei Shuai
    College of Software, Xinjiang University, Urumqi, Xinjiang, China.
  • Xue Wu
    School of Civil Engineering, Southeast University, Nanjing 210096, China.
  • Chen Chen
    The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia.
  • Enguang Zuo
    College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China.
  • Xiaomei Chen
    Department of Rheumatology and Immunology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
  • Zhengfang Li
    Department of Rheumatology and Immunology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, Xinjiang, China.
  • Xiaoyi Lv
    College of Information Science and Engineering, Xinjiang University, Urumqi, China.
  • Lijun Wu
    Department of Rheumatism and Immunology, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
  • Cheng Chen
    Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, University of Science and Technology of China, China.

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