Atigeo has announced the launch of “xPatterns™ PubMed explorer, which uses xPatterns semantic search to analyze the United States National Institutes of Health’s PubMed body of medical research. Containing information about articles published in 5,200 journals in 30 languages dating back to 1949, PubMed provides the groundwork for nearly all U.S. medical research and advancement. Atigeo’s xPatterns PubMed explorer empowers medical research by yielding richer connections and deeper insights stored deep within PubMed’s hundreds of thousands of individual documents and gigabytes of unstructured data.”

The article continues, “In order to unlock hidden patterns, unknown correlations and other useful information stored in the PubMed data, Atigeo’s xPatterns platform assigns relevance scores and generates domain concepts that allow users to search and find pertinent documents organized into clusters. Both linguistic and data agnostic, the xPatterns platform improves its analytical value through machine learning of user’s interaction with the documents. It gets smarter the more you use it. With xPatterns, document discovery is no longer a linear search problem.”

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