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The Diagnostic Features of Peripheral Blood Biomarkers in Identifying Osteoarthritis Individuals: Machine Learning Strategies and Clinical Evidence.

Qiao ZhouJian LiuLing XinYuedi HuYajun Qi
Published in: Current computer-aided drug design (2023)
We highlight that DEGs associated with immune inflammation (NR2C2, TCF4, STAG1, and IL18RAP) may be potential biomarkers for peripheral blood in OA, which are also associated with clinical immune-inflammatory indicators.
Keyphrases
  • peripheral blood
  • machine learning
  • oxidative stress
  • rheumatoid arthritis
  • deep learning