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Using machine learning, Meta scans, analyzes, and extracts biomedical concepts from newly published papers. It incorporates these concepts—including researchers, diseases, genes, journals, organisms, pathways, proteins, protocols, and more—into a map known as a Knowledge Graph. Meta makes relevant recommendations based on the connections between concepts in the Knowledge Graph.