A machine learning-optimized CXCL9/CXCL10/CXCL1 triad achieved >90% accuracy for LTBI/DS-TB/DR-TB stratification, providing a molecular basis for individualized treatment [77]. This evidence concerns the gene CXCL9 and tuberculosis.