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Release of SciBiteAI 2.0: Combine deep learning models with powerful semantic algorithms to unlock Life Science semantic data
SciBiteAI 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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A De Novo Vocabulary Approach for Producing AI Models
In this blog hear how our SciBiteAI team demonstrated a de novo vocabulary approach for generating a machine learning model, allowing researchers to identify and annotate text containing mutant descriptors.
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The Powerful Combination of Semantics-Based Machine Learning and Domain Expertise
In this blog hear about our CTO James Malone's recent talk at Pistoia Alliance’s Spring Virtual Conference on semantics-based machine learning and domain expertise on a day dedicated to emerging science and technologies.
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SciBite CTO James Malone joins ISB Panel to discuss AI and the Future of Biocuration
Our very own SciBite CTO James Malone was invited to take part in a panel discussion as part of this year's virtual Biocuration Conference, where he shared his thoughts in a thought-provoking discussion on “The Future of Biocuration.”
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SciBite launches AI-driven Semantic Search platform to help manage the Life Science data deluge
Intelligent scientific search platform, SciBiteSearch, enables researchers to quickly find meaningful insights from structured and unstructured public and proprietary biomedical data.
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SciBite launches SciBiteAI Relationship Extraction models
SciBite announces the release of SciBiteAI 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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SciBite showcases cutting-edge technology to Life Science leaders at Virtual User Group Meeting
Cambridge, UK – SciBite, the award-winning semantic technology company, recently hosted its first Virtual User Group Meeting across three days, bringing together its global customer base to share cutting-edge insights.
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SciBite launches state-of-the-art AI platform for Life Sciences organisations
SciBite announces the launch of SciBiteAI, 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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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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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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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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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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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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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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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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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 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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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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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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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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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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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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