Li Ling, Yan Teng, Ruonan Yan, Xiaoqun Zeng, Qiwei Du, Zhen Wu, Daodong Pan
studies to assess microbial colonization dynamics and metabolic impacts, and advanced computational approaches combining machine learning algorithms with multi-omics data analysis. Such an integrated approach facilitates the identification of gut microbial biomarkers and the development of precision probiotics, while requiring further refinement of algorithm-driven outcome prediction models and establishment of cross-population validation protocols, thereby accelerating the translation of gut microbiome research into personalized therapeutic strategies and advancing the frontier of precision medicine in gastrointestinal health.