Related Experiment Video
Updated: Feb 10, 2026

Application of Flow Vermimetry for Quantification and Analysis of the Caenorhabditis elegans Gut Microbiome
Published on: March 31, 2023
Gut-Microbiome Interactions: Characterization, Therapeutic Implications and Machine Learning
Selina Mawunyo Ayivi-Tosuh1, Aboagye Kwarteng Dofuor2, Jennifer Afua Afrifa Yamoah3
1Department of Food Science and Technology, Ho Technical University, Volta Region, Ghana.
None:
The gut microbiome is vital in maintaining overall health, yet its complexity and dynamic interactions are still not fully understood. This diverse microbial community comprises bacteria, viruses, fungi, and archaea, contributing to metabolism, immune regulation, and disease susceptibility. However, imbalances in the gut microbiome (dysbiosis), have been linked to various diseases, underscoring the importance of understanding microbial interactions within the gut ecosystem. This review explores these interactions, focusing on biochemical and molecular mechanisms that shape microbial behavior and function. Additionally, it examines the therapeutic potential of the gut microbiome, particularly its involvement in disease progression, prevention, and treatment. The role of medicinal plants in influencing gut microbial composition is also discussed, given their potential to support microbiome health. Lastly, it highlights the integration of machine learning in microbiome research, offering new insights into microbial interactions, predictive disease modeling, and personalized medicine. By addressing these key areas, this review aims to deepen our understanding of gut-microbiome dynamics and their implications for human health and disease management.
Related Concept Videos
Machines
A free-body diagram of the...
Machines: Problem Solving II
Machines: Problem Solving I
The toggle clamp system is a machine structure consisting of movable, pin-connected multi-force members that form a stabilized system to transmit forces. The...
Avoidance Learning and Learned Helplessness
Avoidance learning occurs when an organism learns that a specific behavior can prevent an unpleasant outcome. For example, a student who receives a bad grade may start studying harder to avoid future poor grades. This behavior persists even when the negative outcome is no longer present. Avoidance learning is powerful because it maintains behavior in the absence of the...
Therapeutic Index
Predator-Prey Interactions

