Artificial Intelligence and Neurobiology: Unlocking the Microbe-Brain Interaction

Abstract

The intricate relationship between the gut microbiome and the human brain is an emerging field of research, yet the mechanisms underlying microbial influence on neurological functions remain largely unexplored. Recent advances suggest that gut microbes can regulate neurotransmitter levels, influence neuroinflammation, and even alter behavior through the gut-brain axis [1,2]. However, the sheer complexity of microbial interactions with neural pathways necessitates a more sophisticated analytical approach. Here, I propose leveraging artificial intelligence (AI) to systematically decode these interactions, unveiling new insights into the microbial modulation of brain function.

I hypothesize that AI-driven models can identify hidden patterns in microbiome-neurobiology interactions, revealing how microbes contribute to neurological health and disorders. Through deep learning and data integration techniques, AI can analyze large datasets comprising gut microbiome profiles, neurotransmitter fluctuations, and behavioral changes. These analyses can elucidate microbial contributions to neurodevelopmental conditions such as autism spectrum disorder, psychiatric disorders like depression and anxiety, and neurodegenerative diseases [3,4].