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Identifying KOLs enables our customers to be the first to follow the latest trends and markets or start new collaborations. As you can imagine, spotting and engaging KOLs as fast and accurately as possible is crucial - read more to understand how.
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As genomic sequencing technologies get more advanced, large numbers of gene-disease associations have emerged. A gene with an unclear role within a disease is a source of ambiguity and can lead to misdiagnosis. In this blog, we demonstrate how semantic search technology can facilitate Gene-Disease Relationship Extraction.
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SciBite has today unveiled its new Software-as-a-Service (SaaS) version of TERMite, SciBite’s named entity recognition engine, and its CENtree™ ontology management system.
ReadIn this piece we'll show how natural language processing can be applied to build a searchable database of disease biomarkers, presented in the context of their corresponding scientific publications. To illustrate the power of this approach we'll focus on examples of protein biomarkers relating to Breast Cancer.
ReadIn this blog, we delve into how we applied novel machine learning and curation methods to Japanese language literature, techniques we believe are transferable to other under-supported languages.
ReadWe’re pleased to announce that we’ve given our TERMite Toolkit an update, including updating our Python Toolkit. We’re also excited to introduce our new R module. Read more in this blog post.
ReadSciBite CSO and Founder Lee Harland shares his views on the use of BERT (or more specifically BioBERT) for deep learning approaches.
ReadIn this blog post, learn more about how our partner ChemAxon have integrated SciBite’s ultrafast named entity recognition (NER) and extraction engine solution, TERMite, into their leading cheminformatics platform, and how this can benefit your organisations informatics architecture.
ReadSciBite releases a new version of industry leading, ultra-fast named entity recognition (NER) and extraction engine, TERMite 6.3, which delivers a range of new enhancements, including simplified connectivity to third party systems.
ReadIn this article, we’ll explore how SciBite’s platform works with the semantic web and its primary data representation format, RDF, along with the benefits each technology brings.
ReadAt every stage of a researcher’s career, literary reviews are an integral part of scientific investigation. They help to ensure researchers are aware of the current landscape, latest findings and newest technologies in their field.
ReadWith 6,800 new scientific publications released every day (one every 12 seconds) data mining and horizon scanning is becoming increasingly difficult for medical researchers, which can lead to delayed discoveries in the life science space.
ReadIn this blog we cover how to look potentially reduce the cost of and speed up the repurposing pipeline.
ReadGuest post from CCC, leader in creating global licensing and full content solutions, on the advantage of full text for semantic search.
ReadPerkinElmer, Inc., today announced sophisticated scientific semantic enhancements to the PerkinElmer Signals™ Perspectives platform, powered by SciBite and Attivio®.
ReadIn the latest release of TERMite, we now include a fuzzy matching feature to help identify incorrectly spelt concepts in text.
ReadAnnouncing the latest version of our flagship text analytics software for life sciences, TERMite 5.9.
ReadHow do you know what your colleagues sat opposite you are working on? How about those in another office/building/site? More importantly, do you know who would be the expert on any particular topic within your company?
ReadOver the 50 years how we collect and play music has changed dramatically from physical copies on Vinyl through to electronic mp3s. Each new technology often requires a new device and format to play yet it is still essentially just music.
ReadEnterprise Search, a complex challenge in extracting accurate results from the ever-increasing volumes and variability of big data. But, and it’s a big but, how does a search system know what to look for?
ReadLike it or loathe it, plain text is a goldmine of information. The challenge is that data mining is often complicated through ambiguity. Sure, identifying, disambiguating and extracting those scientific terms is a big challenge but we’ve got it covered.
ReadGet in touch with us to find out how we can transform your data
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