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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.
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.
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.
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®.
ReadGet in touch with us to find out how we can transform your data
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