Unraveling the intricacies of microbiomes and their dynamics is a central challenge in harnessing their potential benefits. Dr. Hero joins us in this episode to discuss the application of a Long Short-Term Memory (LSTM) framework to predict community assembly and metabolite production in a synthetic human gut community.

Standard differential equation-based models have been unsuccessful in capturing complex microbial behaviors that don't conform to preset ecological theories. These models also fall short when dealing with increasing community complexity and multiple functions. Dr. Hero and his team are paving a new way with LSTM, a primary tool in deep learning that learns a high-dimensional, data-driven, non-linear dynamical system model. This model is then used to design communities with specific metabolite profiles.

Dr. Hero will s ...