Microbiomes play a very crucial role in our health by helping control digestion and serving our immune system and many other aspects of health. However, identifying the particular function of microbes is still challenging for many researchers as it requires analysis of enormous datasets of genetic and metabolic information to match the functions of the microbes. Now, researchers from the UC San Diego developed a neural network-based approach called microbe-metabolite vectors (mmvec), which identify the relationship between the microbes and metabolites. This could be used in wide-ranging applications such as medicine, sustainable agriculture, cheap water purification methods, and environmental cleanup technology, etc.