After merging the training and validation datasets and removing batch effects, a nomogram prediction model was established based on CHI3L1, TIMP1, and AQP9 (Figure 5E), which quantified gene expression levels into a cumulative point system to calculate individual RA risk probabilities. The gene discussed is AQP9; the disease is rheumatoid arthritis.