Synthetic Microbiome

Synthetic microbiomes are engineered microbial communities designed to exhibit specific functionalities, such as combating antibiotic resistance. Current research focuses on developing computational methods, including Bayesian optimization and machine learning techniques like autoencoders, to efficiently design and screen these synthetic communities based on desired properties. This approach allows researchers to create tailored microbiomes for various applications, accelerating the development of novel therapeutic strategies and advancing our understanding of microbial interactions. The ultimate goal is to leverage these synthetic systems for improved human health and environmental applications.