In a study published in the journal Environmental Science and Ecotechnology, researchers from Huazhong University of Science and Technology have introduced "Meta-Sorter," an AI-based method that leverages neural networks and transfer learning to significantly improve biome labeling for thousands of microbiome samples in the MGnify database, especially those with incomplete information.
