AI-aided Data Mining in Gut Microbiome: The Road to Precision Medicine

Abstract

The gut microbiome, related to human health and various diseases, is becoming the new biomarker of pathogenesis, phenotype, prognosis, and therapeutic response. Thus, it is expected to play an integral role in the precision medicine field. Artificial intelligence (AI)-based data mining approaches have been applied to facilitate the microbiome analysis with large amounts of massive omics data. In this paper, we presented several works we have made in human gut microbiome data mining, using a variety of AI-aided approaches, such as machine learning, deep learning, etc. We have made progression in the quantitative analysis of the gut microbiome, and the results may help in the application of microbiome-based precision medicine treatments. We reported the alterations of the gut microbiome in aging progression, inflammatory bowel disease (IBD), and the traditional Chinese medicine treatments on acute ischemic stroke (AIS) and identified the subsets of the gut microbiota as potential biomarkers or therapeutic targets using the developed artificial intelligence methods. With the advanced data mining approaches, our computational tools could dig out the correlations between the gut microbiome and human health and diseases. Our efforts presented in this paper also demonstrated the vital role of AI-aided data mining approaches, at least in the direction of precision medicine.