In order to address these clinical needs, it is necessary to integrate metaproteomics-based analysis, bioinformatics, machine learning, and computational approaches to fully realize the potential of the microbiome in enhancing clinical outcomes. For example, machine learning models have been used to predict patient responses to microbiome-targeted therapies by analyzing complex microbial community data, offering insights into personalized treatment strategies .