TNF and rheumatoid arthritis: Recently, machine learning models generated from transcriptome data of monocytes and DNA methylome data of PBMCs have demonstrated 80.3% accuracy in the prediction rate of RA patients’ response to adalimumab, paving the path towards personalized TNF-inhibitor (TNF-i) treatment strategies [46].