Unravelling the gut microbiome: Connecting with AI for deeper insights

Abstract

Artificial intelligence (AI) remains a relatively unfamiliar concept for many, but its significance in the biomedical field is gaining recognition as the world undergoes transformative changes. Furthermore, AI possesses the potential to emulate critical thinking, reasoning, problem-solving abilities, and logical capacities of machines. Additionally, in the realm of gut microbiota research, AI emerges as a valuable asset. The synergy between gut microbes and AI not only holds promise for treating diverse gastroenterological diseases but also aids in comprehending the intricate relationships between gut microbes and microbes of resides into the other body parts. Moreover, AI facilitates a deeper understanding of different facets within gut-microbes interaction research. These direct communications are governed by chemical messengers, hormones, and neurotransmitters, detectable through biosensor chips employing machine learning (ML). Additionally, the indirect regulation of gut function by the brain via the hypothalamic-pituitary-adrenal (HPA) axis can be analysed using different computational models. This promising prospect remains largely unexplored, and in this chapter, our aim is to delve into and harness the potential of AI in gut microbial research. © 2024 Elsevier Ltd