Articles tagged: Artificial Intelligence

  1. SciBite releases new version of CENtree, the revolutionary ontology management tool for Life Sciences organisations

    Cambridge, UK - SciBite, the award-winning semantic software company, today announced the release of CENtree 1.0, the latest version of their innovative, collaborative platform which revolutionises the way Life Sciences organisations manage and release ontologies.

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  2. A Semantic approach to creating Machine Learning training data using Ontologies, Wikipedia and not Sherlock Holmes

    SciBite's CTO James Malone explains how the semantic approach to using ontologies is essential in successfully training machine learning data sets. In this blog he discusses how Sherlock Holmes (amongst others) made an appearance when we looked to exploit the efforts of Wikipedia to identify articles relevant to the life science domain for a language model project.

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  3. Human and Machine Intelligence: Building the future of Text Analytics

    SciBite CSO and Founder Lee Harland features in KM World Magazine where he talks on the future of text analytics and how ontologies are the de facto standard to encode semantics in an understandable form for both humans and machines.

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  4. A helping hand from BERT for Deep Learning approaches

    SciBite CSO and Founder Lee Harland shares his views on the use of BERT (or more specifically BioBERT) for deep learning approaches.

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  5. Ontologies with SciBite: How Ontology enrichment is essential in maintaining Clean Data

    Ontologies have become a key piece of infrastructure for organisations as they look to manage their metadata to improve the reusability and findability of their data. This is the final blog in our blog series 'Ontologies with SciBite'. Follow the blog series to learn how we've addressed the challenges associated with both consuming and developing ontologies.

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  6. Ontologies with SciBite: The importance of facilitating collaboration and integration

    Ontologies have become a key piece of infrastructure for organisations as they look to manage their metadata to improve the reusability and findability of their data. This is the third blog in our blog series 'Ontologies with SciBite'. Follow the blog series to learn how we've addressed the challenges associated with both consuming and developing ontologies.

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  7. Ontologies with SciBite: Why simplifying visualisation and curation is better for everyone

    Ontologies have become a key piece of infrastructure for organisations as they look to manage their metadata to improve the reusability and findability of their data. This is the second blog in our blog series 'Ontologies with SciBite'. Follow the blog series to learn how we've addressed the challenges associated with both consuming and developing ontologies.

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  8. Ontologies with SciBite: The benefits of centralising Ontology Management

    Ontologies have become a key piece of infrastructure for organisations as they look to manage their metadata to improve the reusability and findability of their data. This is the first blog in our blog series 'Ontologies with SciBite'. Follow the blog series to learn how we've addressed the challenges associated with both consuming and developing ontologies.

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  9. 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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  10. SciBite launches CENtree to revolutionise Ontology Management for Life Sciences organisations

    Cambridge, UK - SciBite, the award-winning semantic technology company, today announced the launch of CENtree, an innovative, collaborative platform which revolutionises the way Life Sciences organisations manage and release ontologies.

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  11. SciBite announced as Best of Show Award finalists for Bio-IT World 2019

    SciBite has been shortlisted for Bio-IT World 2019’s prestigious Best of Show Award.

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  12. Are Ontologies relevant in a Machine Learning-centric world?

    SciBite CSO and Founder Lee Harland shares his views on why ontologies are relevant in a machine learning-centric world and are essential to help "clean up" scientific data in the Life Sciences industry.

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  13. Climbing Mt Peer Review: May AI help you with that?

    At 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.

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  14. Power to the patients: An AI-based microbiome analyser to support IBD patients from the comfort of their own homes

    The work presented here describes the winning entry to a challenge set by ARM, Atos and Cavium at the Wellcome Genome Campus Hackathon 2018.

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  15. Text-mining drug labels for genetic factors influencing efficacy and safety to support clinicians at the point of prescription

    Only 50-75% patients respond beneficially to first-line drug therapy, causing unnecessary costs to healthcare providers and, more importantly, adversely impacting a patient’s quality of life.

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  16. SciBite technology transforms Data Mining & Horizon Scanning

    With 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.

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