Our machine learning models compare features of your microbiome with patterns in reference datasets and calculate similarity indices: how closely your profile resembles those observed in groups of people with particular metabolic or inflammatory characteristics.
These indices help you explore how your microbiome relates to the patterns analysed, but they are not an individual probability of developing a disease or a clinical prognosis. Their interpretation depends on the reference population, the variables used and the model version. They are exploratory similarity indices and must not be interpreted as clinical tests predicting individual outcomes. You can ask us to explain an index or have a member of our team review it.