Quertle Collaborates with Elsevier to Integrate ScienceDirect Full-Text Searching Within its New Artificial Intelligence Discovery Tool

Henderson, NV/Amsterdam, February 2, 2017

Quertle, developer of the first artificial intelligence (AI) biomedical big data discovery platform (BioAI™) for biomedical literature, and Elsevier, a world-leading provider of scientific, technical and medical information products and services, announce that searching of the full-text biomedical and life science content on ScienceDirect, Elsevier’s leading 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 AI-based methods have failed to appreciably address these issues. 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 (including 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. Viewing non-open access full-text documents will be possible for users affiliated with institutions subscribing to ScienceDirect.


About Quertle
Recently named a Top 10 Analytics Provider for 2017, and winner of the National Library of Medicine Innovation Challenge, Quertle is a biomedical big data analytics company that has integrated Artificial Intelligence and other modern technologies into its discovery platform to gain unmatched insight from textual content.  The platform dramatically minimizes the risk of missing critical documents, providing an important resource for companies, university researchers, and health care providers.  In addition to Qinsight, Quertle offers custom-built solutions based on the BioAI platform.  Quertle boasts an extensive client list, which includes users at the top pharmas, research institutions, universities and hospitals. Qinsight is available as a Software as a Service (SaaS) subscription, with both site licenses and individual user licenses available. www.quertle.com.

About Elsevier
Elsevier is a global information analytics company that helps institutions and professionals progress science, advance healthcare and improve performance for the benefit of humanity. Elsevier provides digital solutions and tools in the areas of strategic research management, R&D performance, clinical decision support, and professional education; including ScienceDirect, Scopus, ClinicalKey and Sherpath. Elsevier publishes over 2,500 digitized journals, including The Lancet and Cell, more than 35,000 e-book titles and many iconic reference works, including Gray's Anatomy. Elsevier is part of RELX Group, a global provider of information and analytics for professionals and business customers across industries. www.elsevier.com

Media contact
Elisa Nelissen
Press Officer, Elsevier
+31 20 485 2492