AI in Microbiome Research: Decoding the Human Gut-Brain Axis with Deep Learning
Authors:-Vandana Gowda C.D
Abstract-:The human microbiome, a complex community of microorganisms residing in the gut, plays a critical role in human health and disease. Recent studies suggest that the gut microbiota influences not only digestive health but also brain function and behavior, contributing to the emergence of the gut-brain axis concept. Advances in artificial intelligence (AI), particularly deep learning, have enabled the analysis of vast amounts of microbiome data, providing deeper insights into the microbiota’s composition and its connection to various neurological conditions. This paper explores the applications of AI in microbiome research, focusing on its role in decoding the human gut-brain axis. AI-driven approaches are being used to identify microbial patterns linked to diseases such as autism, depression, and Parkinson’s, revolutionizing our understanding of the brain’s biochemical environment. The paper discusses case studies where AI has been applied to microbiome data, along with the challenges, ethical considerations, and future prospects of using AI in this field.
