Published online Oct 28, 2021. doi: 10.35713/aic.v2.i5.69
Peer-review started: October 19, 2021
First decision: October 24, 2021
Revised: October 24, 2021
Accepted: October 27, 2021
Article in press: October 27, 2021
Published online: October 28, 2021
Processing time: 8 Days and 22.4 Hours
With the rapid development of high-throughput sequencing and artificial intelligence (AI) techniques, gut mucosal microbiota begins to be recognized as critical drivers of human colorectal cancer (CRC). Various AI approaches have been designed to obtain effective information from enormous numbers of microbial cells residing in gut mucosal as well as cancer cells. These mainly include detection of microbial markers for early clinical diagnosis of stage-specific CRC, characterization of pathogenic bacterial activities via genomic and transcriptomic analyses, and prediction of interplay between bacterial drivers and host immune systems. Here I review the current progresses of AI applications in profiling gut microbiomes linked to CRC initiation and development. I further look forward to future AI research for improving our understanding of the roles of gut microbiota in CRC evolution.
Core Tip: In this review, the author reviews the current progresses of artificial intelligence (AI) applications in profiling gut microbiomes linked to colorectal cancer (CRC) initiation and development. The author further looks forward to future AI research for improving our understanding of the roles of gut microbiota in CRC evolution.