Typically the portal envelops scientific papers, text books, health authority guidance, and health trial information into a singular interface, allowing researchers to swiftly surface critical insights and check out the vast and growing info about the COVID-19 pandemic.
“Our team was compelled to assist researchers access the information they need and let them to be able to analyze developments or trends at scientific research about the fresh Coronavirus and the related problem, ” said Alexandre Bilger, TOP DOG at Sinequa. “We are advancing together publicly available scientific records and publications and giving no cost access to our Intelligent Look for platform and its advanced natural language processing (NLP) capabilities as well as artificial intelligence so that research can find and review the emerging global evidence on often the novel Coronavirus and COVID-19. very well
The COVID-19 Keen Insight portal is one in the largest repositories of its kind, providing intelligent search together with analysis of more than 70, 000 forms focused on COVID-19 and SARS-CoV-2, with new material added day-to-day. Current sources are the COVID-19 Opened Research Dataset (CORD-19) of educational literature, papers from Elsevier, medical studies from clinicaltrials. gov, and publications from the World Physical health Organization database and the Focuses for Disease Control and Anticipation (CDC).
Sinequa’s selection to create the free zaguán is usually a direct response to the White House Office of Science and Technology Policy (OSTP) and additionally calls from all other global health agencies for “AI machine-readable technology” for you to address the fast-evolving Coronavirus booklets.
The COVID-19 Savvy Insight portal uses semantic research, AI, and an expression00 clinical terms to enable the scientific neighborhood to instantly search documents to be able to:
- Identify and additionally discover information relevant to his or her work
- Understand material of interest by navigating enriched form views to explore the a good number of relevant information in its total context
- Analyze primary factor concepts that appear throughout the literature, and explore relationships around multiple documents through visualizations and even relevant extracts
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