About this Research Topic
The human gut microbiome, a complex ecosystem of microorganisms, profoundly influences health and disease by affecting digestion, immunity, and metabolism. Imbalances are linked to conditions like inflammatory bowel diseases, obesity, and autoimmune disorders. Leveraging the power of artificial intelligence (AI), researchers are now focusing on deciphering the intricate interactions between diet and the gut microbiome. AI's capacity to handle vast biological data, including genomics and gut microbiome data, enables insights into how diet influences specific microbes and impacts health. This Research Topic invites experts from diverse fields to share their latest AI-driven research on diet-gut microbiome interactions. By employing machine learning, deep learning, and network analysis, these studies aim to uncover novel relationships between dietary patterns and gut microbial composition. The findings hold potential for personalized nutrition and interventions to prevent and treat gut microbiome-related diseases, fostering innovation in health management and medical practice.
We aim to use AI to understand and unravel the intricate connections between diet and the gut microbiome. By leveraging AI techniques like machine learning and deep learning, the study seeks to identify how different dietary components influence specific microbial communities in the gut. This in-depth understanding holds the potential to revolutionize personalized nutrition, as tailored dietary recommendations based on an individual's gut microbiome composition could optimize health outcomes. Moreover, the insights gained from this research endeavor can pave the way for targeted interventions to enhance gut health and mitigate gut-related diseases. By harnessing the power of AI, healthcare practices may see groundbreaking advancements, with innovative AI-driven approaches aiding in the prevention and treatment of various disorders linked to the gut microbiome. In sum, this research endeavor strives to unlock the remarkable potential of AI in revolutionizing nutritional science and personalized medicine for a healthier and more resilient population.
We seek submissions that explore the intricate relationship between diet and the gut microbiome using AI-driven approaches. We encourage researchers to submit Original Research, Reviews, and Methods that address the following specific themes:
1. The influence of different diets (e.g., high-fiber, high-fat, vegetarian) on gut microbiome composition.
2. Machine learning techniques to predict personalized gut microbiome responses to specific diets.
3. Identification of microbial biomarkers associated with dietary responses.
4. Associations between diet-gut microbiome interactions and human health outcomes.
5. AI-enabled therapeutic strategies for modulating the gut microbiome.
6. Integration of multi-omics data (e.g., genomics, metagenomics, metabolomics) with AI algorithms to gain a comprehensive understanding of diet-gut microbiome relationships.
We aim to use AI to understand and unravel the intricate connections between diet and the gut microbiome. By leveraging AI techniques like machine learning and deep learning, the study seeks to identify how different dietary components influence specific microbial communities in the gut. This in-depth understanding holds the potential to revolutionize personalized nutrition, as tailored dietary recommendations based on an individual's gut microbiome composition could optimize health outcomes. Moreover, the insights gained from this research endeavor can pave the way for targeted interventions to enhance gut health and mitigate gut-related diseases. By harnessing the power of AI, healthcare practices may see groundbreaking advancements, with innovative AI-driven approaches aiding in the prevention and treatment of various disorders linked to the gut microbiome. In sum, this research endeavor strives to unlock the remarkable potential of AI in revolutionizing nutritional science and personalized medicine for a healthier and more resilient population.
We seek submissions that explore the intricate relationship between diet and the gut microbiome using AI-driven approaches. We encourage researchers to submit Original Research, Reviews, and Methods that address the following specific themes:
1. The influence of different diets (e.g., high-fiber, high-fat, vegetarian) on gut microbiome composition.
2. Machine learning techniques to predict personalized gut microbiome responses to specific diets.
3. Identification of microbial biomarkers associated with dietary responses.
4. Associations between diet-gut microbiome interactions and human health outcomes.
5. AI-enabled therapeutic strategies for modulating the gut microbiome.
6. Integration of multi-omics data (e.g., genomics, metagenomics, metabolomics) with AI algorithms to gain a comprehensive understanding of diet-gut microbiome relationships.
Keywords: artificial intelligence, gut microbiome, diet, precision nutrition
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
