Henderson, Nevada-based Quertle, developer of the first artificial intelligence (AI) biomedical big data discovery platform (BioAI) for biomedical literature, and Amsterdam-based Elsevier, a provider of scientific, technical and medical information products and services, announce that full-text searching of biomedical and life science content on ScienceDirect, Elsevier’s information source with over 14 million publications, will be integrated into Quertle’s artificial intelligence discovery product Qinsight.

Because traditional search methods often produce long lists of irrelevant results, users can be overwhelmed and miss pertinent documents. Semantics, natural language processing and other current AI-based methods fail to address this issue and meet researcher needs. In contrast, Qinsight uses biomedically-optimized neural networks and other AI methods to simulate how an expert’s brain discovers the most relevant information, discerns critical facts and discovers key concepts. Qinsight also provides advanced visual analytics to summarize results, predict trends and discover hidden connections within the literature. The ScienceDirect content will provide a significant expansion to the more than 40 million authoritative documents, which includes more than 10 million full-text documents, already searched in Qinsight.

“Searching the full text of ScienceDirect using Quertle’s BioAI-based discovery and visual analytics methods will allow Qinsight users to recognize a greater value from their Elsevier holdings,” said Jeff Saffer, Quertle president and CEO.

“We are excited to work with Quertle, providing our biomedical and life science content to help Qinsight users find what matters and guide them to the relevant full-text articles on ScienceDirect. This will help their research to move faster and empower knowledge in the medical and scientific community,” said Laura Hassink, senior vice president for ScienceDirect product management at Elsevier.

The full-text content from ScienceDirect is projected to be searchable in Qinsight in the first quarter of 2017 as an add-on module to every Qinsight subscription. Users from institutions with ScienceDirect subscriptions will also be able to view non-open access full-text documents.