 Patient metadata and stool samples will be collected at key time points. The patient-reported metadata collection technique will allow for numerous clinical correlations to be parsed out using the random forest machine learning capabilities of synthetic learning in microbial ecology SLiME to identify taxonomic features associated with important clinical parameters. 