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SciBite’s newest VOCabs – What’s in our 6.5 release
SciBite’s VOCabs power a host of semantic use cases including search and analytics. Created from public ontologies and reference databases for a wide range of topics, these vocabularies are enriched using our proprietary tools, and curated by our team of experts to ensure maximum capture of relevant synonyms by subject area and context.
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SciBite Nominates Ontology Management Platform CENtree for a SIIA CODiE Award 2022
We’re thrilled to announce that SciBite has nominated it's ontology management platform CENtree for a SIIA CODie award in the 'Best Integration Platform as a Service (iPaaS)' category.
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SciBite announces the release of SciBite Search V2.0
In this blog we announce the v2.0 release of SciBite Search, our intelligent scientific search platform. We’ve expanded our Elsevier data connectivity, broadening the sources you can load and search, as well as a host of features that improve the user experience.
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Release of SciBite AI 2.0: Combine deep learning models with powerful semantic algorithms to unlock Life Science semantic data
SciBite AI combines deep learning Artificial Intelligence models with our powerful semantic algorithms, enabling the pharmaceutical and healthcare sectors to exploit and rapidly use life science data in research and development.
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SciBite launches SaaS Versions of its Semantic Technology Products
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.
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SciBite launches AI-driven Semantic Search platform to help manage the Life Science data deluge
Intelligent scientific search platform, SciBite Search, enables researchers to quickly find meaningful insights from structured and unstructured public and proprietary biomedical data.
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SciBite launches SciBite AI Relationship Extraction models
SciBite announces the release of SciBite AI Relationship Extraction models, which provide the enhanced ability to identify complex relationships within text to further unlock insights from Life Sciences data.
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State-of-the-art Artificial Intelligence software platform for Life Sciences organisations
SciBite announces the launch of SciBite AI, a state-of-the-art Artificial Intelligence software platform for leveraging machine learning models alongside semantic technologies to unlock insights into Life Sciences data.
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Unlocking Patents as a Data Source in the Life Sciences – Overview of Challenges and using Semantic Technology to overcome them
Throughout this blog we highlight some complexities that exist in extracting meaningful information from patents and show various solutions, making use of SciBite technology alone or, augmented by or delivered by our partners.
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The Allotrope Ontologies: The power of open Ontologies in industry
In this blog, find out how our next-generation ontology management tool CENtree can be used to manage the Allotrope ontologies.
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A day with the FAIRplus project: Implementing FAIR data principles in industrial life science research
Here's how some of the SciBite team got on at the FAIRplus SME and Innovation Forum.
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Talking to TERMite – introducing the SciBite scripting suite
We’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.
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The SciBite difference – It’s all about your data
In this blog post SciBite's CSO and Founder Lee Harland addresses a very common question we are often asked by potential customers and partners...
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SciBite joins Accenture’s Life Sciences Ecosystem to help drive innovation in Drug Discovery and Scientific Research
SciBite joins Accenture’s open partner ecosystem, designed to help independent software vendors (ISVs) and life science companies team more effectively to accelerate drug discovery efforts and improve patient outcomes.
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SciBite and ONTOFORCE partner to make semantic search even more powerful
Cambridge, UK – SciBite, a firm whose technology is disrupting the traditional approaches of working with scientific information across the globe, today announced a strategic partnership with ONTOFORCE, the leading data integration company.
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Disease Detective Part 3: Machine Learning and phenotype triangulation
In our final disease detective article, we’ll take Part 2’s topic a little further and zoom in on how we can find new relationships between diseases where direct evidence is sparse.
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Disease Detective Part 2: Exploring mechanistically-related diseases through shared phenotypic profiles
Today, we’ll look at a fresh way of enabling scientific researchers, either in pharmaceutical R&D or in medical institutes to deepen their investigations and consider new links.
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SciBite and PerkinElmer Provide Advanced Analytics from Unstructured Scientific Data
PerkinElmer, Inc., today announced sophisticated scientific semantic enhancements to the PerkinElmer Signals™ Perspectives platform, powered by SciBite and Attivio.®
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SciBite partners with Copyright Clearance Center
We live in a world of increasing volumes, sources and formats of scientific content. So how can you find what is important quickly, simply, and with the confidence that you have missed nothing?
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