Machine learning-driven discovery of NETs-associated diagnostic biomarkers and molecular subtypes in tuberculosis.

In bacterial pneumonia, validation of key gene expression showed that only AIM2 and TNFSF10 exhibited statistically significant upregulation, while the other genes did not reach statistical significance ( Supplementary Figure 1 ; Supplementary Material 1 ).

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