Researchers from Chengdu University used saliva microbiomics and a machine-learning optimized BOXGB model to detect pulmonary nodules. With an AUC of 0.8831, the study highlights how microbial signatures like Defluviitaleaceae_UCG-011 can guide early diagnosis, offering a promising tool complementary to imaging techniques.

Q&A

  • What are pulmonary nodules?
  • How does saliva microbiomics contribute?
  • What is the role of machine learning?
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