News

Streamlining data-intensive scientific workflows through FAIR data

Streamlining data-intensive scientific workflows and supply chains through FAIR data, data models and applications – A collaboration between L7 Informatics and SciBite. With increasingly complex manufacturing and supply chains in the life sciences, there is a requirement for flexible and extensible tools to support data management.
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Revolutionizing Life Sciences: The incredible impact of AI in Life Science [Part 2]

As discussed in part 1, Artificial intelligence (AI) has revolutionized several areas in life sciences, including disease diagnosis and drug discovery. In this second blog, we introduce some specific text-based models whilst also discussing the challenges and future impact of AI in Life Science.
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SciBite launches Workbench –
Taking the effort out of tabular data curation

SciBite, a leading provider of semantic technology solutions, has today announced the launch of Workbench, a structured data annotation tool that simplifies the process of curating data to terminology and ontology standards.
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Matching patients to clinical trials

Patient X, suffering from an untreatable gastrointestinal disease, chats with a large language model called GPT for advice. GPT suggests looking at clinical trials and Patient X finds 10 active recruiting trials but is unsure which to choose. Patient X consults his doctor who recommends a trial from a pharmaceutical company. What could go wrong?
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Revolutionizing Life Sciences: The incredible impact of AI in Life Science [Part 1]

Artificial intelligence (AI) has been applied to numerous aspects of the life sciences, from disease diagnosis to drug discovery; in the first of this two-part blog series, we outline the impact of AI in Life Science and illustrate the various success stories of AI in Life Science.
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IDBS and SciBite bring enterprise ontologies and scientific data management together

IDBS, a leading provider of life science informatics and process data management solutions, and SciBite, an award-winning provider of semantic analytics technologies, today announce a new partnership to shift the way research data platforms approach FAIR (Findable, Accessible, Interoperable, and Reusable) data.
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Healthcare digital transformation challenges: How can we enable healthcare systems to trust their data?

At SciBite, we are passionate about enabling organizations to make full use of their data to help them make evidence-based decisions, especially to help organizations overcome their healthcare digital transformation challenges. To support organizations on this journey, we offer a suite of products to help organizations adopt FAIR data standards.
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SciBite unveils partnership with Modak

Modak, a leading provider of data engineering solutions, and SciBite, an award-winning provider of semantic analytics technologies, today announced a partnership that will empower Life Science enterprises to fast track the process of generating insights from research publications, patents, and documents, which is crucial for advancing scientific discovery.
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How SciBite technology can facilitate gene-disease relationship extraction

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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Harnessing our latest VOCab:
Emtree

The 6.5.2 release of SciBite’s VOCabs introduces a range of new VOCab packs as well as updates to existing vocabularies. In this blog series we’ll be introducing each of the new VOCabs: IDMP, a new Sequence Ontology VOCab as part of the Genotype-Phenotype VOCab pack and, first up, the new Emtree VOCab pack.
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What is IDMP – Navigating the ISO IDMP standards with SciBite ontologies

As of the first quarter of 2023, it will be mandatory for pharmaceutical manufacturers that market to the EU to comply with the European Medicines Agency (EMA) ISO Standards for the Identification of Medicinal Products (IDMP).
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Creating a SciBite VOCab from a public ontology

Public ontologies are essential for applying FAIR principles to data but are not built for use in named entity recognition pipelines. At SciBite, we build on the public ontologies to create VOCabs optimized for NER. In this blog, discover how we create a SciBite VOCab from a Public Ontology.
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Why Use Your Ontology Management Platform as a Central Ontology Server

Raw data has the inherent characteristic of being unstructured with potential quality issues such as inaccurate, incomplete, inconsistent, and duplicated. Therefore, it must be processed before it can be used for subsequent analysis and confident data-driven decisions. This is where ontologies come into play.
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Leveraging semantics for effective navigation of scientific content

A Copyright Clearance Center & SciBite Perspective - In an increasingly data-driven society, it can be overwhelming to keep your knowledge base current and effectively utilize data. The result in many organisations is underutilising the data and content available to them.
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What’s in our 6.5.2 TERMite / VOCabs release

SciBite’s vocabularies fuel a host of use cases, from complex querying to data integration and discovery of new knowledge. In the 6.5.2 release of VOCabs, SciBite introduces the new Emtree VOCab pack, as well as a new Sequence Ontology vocab to the Genotype-Phenotype vocab pack. Several updates to existing vocabularies are also included.
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Delivery of precision medicine through alignment of clinical data to ontologies

Precision medicine is changing the way that we think about the treatment of disease, moving from broad-acting therapies to therapies tailored to the individual patient. This increasingly relies on real-world data (RWD), encompassing a diverse range of sources, spanning multi-omic molecular characterisation of the patient’s condition, clinical presentation, treatment, and broader medical histories.
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SciBite named ‘Best of Show’ at Bio-IT World 2022 for CENtree

SciBite’s ontology management platform CENtree won ‘Best of Show” at this year’s Bio-IT World 2022
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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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Detecting adverse drug reactions in social media posts 

The highly informal language used in social media posts is challenging to analyse. Recognizing this need, SciBite has created a machine learning-based model capable of identifying adverse Drug Reactions associated with medications from the informal language found in social media posts.
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CODiE 2022 SIIA finalist in best Integration Platform as a Service (iPaaS)

SciBite's ontology management platform, CENtree earns nod from industry leaders by being named a 2022 SIIA CODiE Award finalist in the Best Integration Platform as a Service category.
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SciBite nominates ontology management platform CENtree for a SIIA CODiE award

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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SKOS in CENtree: Further support in our latest 2.1 release

At SciBite terminologies underpin all that we do. There are many ways to represent and build a standardised terminology, each with different levels of complexity. On one hand you have simple, informal, lightweight terminologies (e.g., glossaries, dictionaries, and thesauri), where the meaning (semantics) of terms is captured using natural language.
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SciBite brings enterprise ontologies to Benchling – Ontology backed data capture

Unstructured and siloed data in the life sciences remains a significant barrier to fulfilling the promise of digital transformation. Awareness is growing for the importance of data capture and storage, enabling it to be effectively found, accessed, used interoperably and reused. These are the foundations of FAIR. Capturing data with FAIR in mind, ensuring your data is “born FAIR”, is key to unlocking the full potential of data.
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SciBite Virtual User Group Meeting 2021:
What we discovered

SciBite, the award-winning semantic technology company, recently hosted its annual User Group Meeting virtually for the second year running. Held over three days, we brought together our customers and partners to have discussions around Ontologies and Ontology-Powered Entity Registration, FAIR data ecosystems, Data FAIRification, and Knowledge Graphs
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SciBite announces the release of SciBite Search 2.0

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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SciBite announces the release of CENtree 2.0.1

In this blog we announce the 2.0.1 release of CENtree, SciBite’s ontology management platform, which sees the introduction of features that enable you and your team greater control over managing and deploying ontologies in your applications, and a closer integration with TERMite.
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SciBite and Sinequa join forces to transform scientific search

SciBite and Sinequa's new collaboration combines custom ontologies with a powerful search platform to help researchers find answers fast.
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SciBite and Stardog build a Knowledge Graph for drug discovery in a new webinar

In a recent webinar, SciBite and Stardog team members demonstrated how to build a knowledge graph to identify candidate drugs for a rare disease.
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SciBite AI 2.0: Combine deep learning models with powerful semantic algorithms

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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Introducing efficiencies into the scientific reading experience

First and foremost, researchers need access to a corpus of scientific literature and secondly, they need a robust and reproducible way to search that content. Through partnership, SciBite and Copyright Clearance Center bring together scientific content and advanced search capabilities.
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A de novo vocabulary approach for producing Machine Learning models (AI Models)

In this blog hear how our SciBite AI 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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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 and L7 Informatics partner to deliver data ontology search through L7|ESP™

SciBite and L7 Informatics announce joint partnership to support discovery and collaboration in the life sciences.
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The powerful combination of semantics-based Machine Learning and domain expertise

In this blog hear about SciBite'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 joins ISB panel to discuss AI and the Future of Biocuration

Our SciBite CTO 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 Top Tech Company of 2021 – Cambridge Awards

We’re thrilled to announce that SciBite has been named ‘Technology Company of the Year’ at the Cambridge Independent Science and Technology Awards!
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SciBite launches AI-driven semantic search platform to help manage 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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Addressing common challenges with Knowledge Graphs

In this blog we describe the pivotal role of semantic enrichment in the creation of effective Knowledge Graphs, and illustrate how semantic Knowledge Graphs help answer complex scientific questions.
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Exploring breast cancer biomarkers with a literature biomarker database

In 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.
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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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Annotation of the COVID-19 open research dataset for the scientific research community

In this blog find out how the SciBite team has responded to the tech community call to arms from The White House after they released an Open Research Dataset (CORD-19), with the hope to help uncover insights and answer high-priority scientific questions related to COVID-19.
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SciBite showcases cutting-edge insights to life science leaders

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 technology insights with life science leaders.
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What’s new in CENtree 1.4:
Making ontology management simple

Find out what's new in CENtree 1.4, the latest release of the enterprise ready multi-user ontology management platform for browsing and managing ontologies.
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Bringing FAIR to Chemistry, Manufacture & Control (CMC)

In this blog we introduce our new package of vocabularies designed to enable the FAIR data principles and help pharmaceutical companies navigate their documents with respect to Chemistry, Manufacture and Control (CMC) procedures.
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SciBite recognized as a KMWorld trend-setting product of 2020

SciBite is pleased to have been recognised as a KM World trend-setting product of 2020. The annual list is designed to help spread the word about new and noteworthy solutions that are helping to improve organisational systems.
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Launch of 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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Elsevier acquires SciBite to accelerate solutions for life sciences and corporate R&D industries

Elsevier, a global research publishing and information analytics provider, and part of RELX, has acquired SciBite, a semantic AI company headquartered in Cambridge, UK, to help customers make faster, more effective R&D decisions through advanced text and data intelligence solutions.
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What’s new in the latest release CENtree 1.2

Find out what's new in CENtree 1.2, the latest release of the enterprise ready multi-user ontology management platform for browsing and managing ontologies.
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Sprinkling a little semantic enrichment into your Data Catalogue

This blog focuses on the use and value of Data Catalogues and Master Data Management (MDM) tools, and how the additional layer of Semantics is required in order to truly see their value for enterprises looking to better manage their data.
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Unlocking patents as a data source in the Life Sciences

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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SciBite wins Queen’s Award: Enterprise in Innovation

SciBite, the data first, semantic analytics software company, today announced being named as a winner of the Queen’s Award for Enterprise in Innovation – the highest official UK awards for businesses.
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Using scientific data technology to access the emerging trends in immuno-oncology research

In this blog, we explain more about our Immunonc vocabulary, comprising the concepts relating to this field, which enables our customers to be better informed about the current advances and emerging trends in cancer immunotherapy research, keeping them at the forefront of cancer treatment.
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SciBite announced as fastest-growing company in Pharma Fast 50

Cambridge, UK – SciBite today announced being named the fastest-growing company identified in this year’s Alantra Pharma Fast 50, an annual ranking of privately-owned pharmaceutical businesses in the UK based on growth speed.
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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

Here's how some of the SciBite team got on at the FAIRplus Project SME and Innovation Forum.
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Machine Learning insights from Japanese language academic text

In 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.
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What is a Semantic Knowledge Graph?

At a time where more and more of our customer projects revolve around knowledge graph creation, we thought it was about time we blogged on what exactly a knowledge graph is and explain a bit more about how our semantic enrichment technology is being used to facilitate the production of such a powerful data model.
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The 12 days of Machine Learning tips for creating labelled training data

On the first day of Christmas SciBite gave to me... 12 top tips for creating labelled Machine Learning training data.
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CENtree 1.1: Latest release of the revolutionary ontology management tool

SciBite releases latest version of CENtree, the revolutionary ontology management platform for the life sciences.
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SciBite brings together world’s top life science leaders for annual User Group Meeting

Cambridge, UK – SciBite, the award-winning semantic technology company, recently hosted its annual User Group Meeting at the Wellcome Genome Campus in Cambridge UK, where discussions around ontologies, deep learning and FAIR data dominated the day.
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SciBite releases new version of their easy to use Vocabulary Editing Toolkit – VET 2.0

SciBite releases new version of easy-to-use Vocabulary Editing Toolkit, VET 2.0 which adds new features, improves performance, and offers even greater ease-of-use.
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SciBite releases DOCstore 1.4 – latest version of semantic search application

SciBite releases DOCstore 1.4, the latest version of the next generation, end-user search application.
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SciBite releases CENtree 1.0

SciBite releases CENtree 1.0, the latest version of the innovative, collaborative platform which revolutionizes the way life sciences organizations manage and release ontologies.
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Semantic approach to training ML data sets using ontologies & not Sherlock Holmes

SciBite's CTO 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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SciBite gathers ‘clean data’ inspired life science leaders at US-based customer meeting

Last week SciBite hosted its annual US-based customer meeting in Boston MA, gathering representatives from 12 of the world’s major life sciences organisations and sparking ‘clean data’ discussions.
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Building the future of text analytics

SciBite CSO and Founder Lee Harland features in KM World Magazine, where he talks about 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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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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Using Enterprise Search to unlock the wealth of R&D data

Learn more in this blog post about our partnership with Sinequa and how our technologies work together to provide a winning combination of Cognitive Search and powerful Life Sciences Semantics, as we explain how enterprise search platforms are enabling Pharmaceutical companies to become more information-driven.
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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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Powering question-driven problem solving with semantic integration

In this blog post hear from GSK's Scientific Lead within the Data and Computational Sciences Solutions team, Samiul Hasan on how semantic integration can be made to ultimately become part of an integrated learning framework for more informed scientific decision making.
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The benefits of Semantically Enriching document mining for Chemists

In 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.
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Using ontologies to unlock the full potential of your scientific data – Part 2

This blog post focuses on mapping, building, and managing ontologies. In my previous blog, I described what ontologies are and how you can use them to make the best use of scientific data within your organization. Here I’ll expand upon this and focus on mapping, building, and managing ontologies.
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Using ontologies to unlock the full potential of your scientific data – Part 1

In the first of this two-part blog, I describe what ontologies are and how you can use them to make the best use of scientific data within your organisation.
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The pivotal role of Semantic Enrichment in the evolution of Data Commons

In this blog post, discover how Pfizer have integrated SciBite’s semantically enriched vocabularies into their Data Commons project, which has the goal of enabling scientists to develop and refine hypotheses by investigating correlations between genetic and phenotypic data.
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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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Enhanced Clinical Vocabularies – Inclusion of CDISC in TERMite 6.3

SciBite's latest TERMite 6.3 release includes a new set of clinical ontologies as it introduces a set of CDISC vocabularies.
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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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SciBite releases new version of ultra-fast text analysis engine – TERMite 6.3

SciBite 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.
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Why simplifying visualization 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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SciBite Japan moves into new Tokyo premises to accommodate growth plans

SciBite continues to expand as Japan team move into a new, larger office space in the heart of Tokyo in the brand-new Marunouchi Nijubashi Building.
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The benefits of centralizing 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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How the use of Machine Learning can augment adverse event detection

When it comes to identifying adverse events (AEs), things are not always as they seem. Consider a paper describing a new treatment for a given illness - how can we determine which adverse event terms refer to actual adverse events as opposed to symptoms of the illness itself, given that those terms may be identical? Is this new drug treating arrhythmias or causing them, for example?
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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 wins Queen’s Award: Enterprise in International Trade

SciBite today announced being named as a winner of the Queen’s Award: Enterprise in International Trade – the highest official UK awards for businesses.
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SciBite launches CENtree, ontology management for life sciences

Cambridge, UK - SciBite, the award-winning semantic technology company, today announced the launch of CENtree, an innovative, collaborative platform which revolutionizes the way life sciences organizations manage and release ontologies.
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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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SciBite Ontology Services offers expert ontology solutions

Cambridge, UK – SciBite, the award-winning semantic technology company, today announced the launch of SciBite Ontology Services.
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SciBite announced as finalists in Bio-IT World 2019’s Innovative Practices Awards

SciBite's innovative project with LifeArc has been shortlisted for Bio-IT World’s inaugural Innovative Practices Awards 2019.
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SciBite supports first data scientist degree apprenticeship

SciBite is proud to be supporting Anglia Ruskin University’s pioneering initiative to develop trained early career bioinformaticians through their brand-new data scientist degree apprenticeship.
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How biomedical ontologies are unlocking the full potential of biomedical data

Our latest blog explains how SciBite's Ontologies team takes public biomedical ontologies and tailors them so that they can be used for named entity recognition (NER).
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How semantic enrichment technology is changing the way we search

In our latest blog we discuss the challenges life sciences companies, like LifeArc, face in keeping up-to-date with scientific literature, and how semantic enrichment technology can automate this process to reduce the time spent mining data by up to 80%.
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Women in technology gather for Cambridge WIT Biotech event at Wellcome Genome Campus

Last week, SciBite co-sponsored Cambridge Women in Technology's (WIT) event on navigating a career in biotech, gathering 85+ women to hear from guest speakers at the BioData Innovation Centre on the Wellcome Genome Campus.
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SciBite expands US presence with new Boston office

SciBite continues to expand and announces the official opening of its first US-based office in Boston, MA.
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Exploring ontology visualization techniques for biological data

What’s the most useful way to visualize an ontology? SciBite CTO gives his views on answering this commonly asked question regarding ontology visualization techniques.
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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 & RDF (Resource Description Framework) – A natural semantic fit

In 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.
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Top 3 hacks to a successful semantic Hackathon

CTO, James Malone shares his top 3 hacks to a semantic Hackathon, following SciBite's first US-based Hackathon in Boston, MA.
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SciBite gathers life science leaders at back to back User Meetings in Europe and USA

SciBite hosts European Workshop at Novo Nordisk in Copenhagen, followed by first-ever US based User Group Meeting at Pfizer in Boston, MA.
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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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SciBite Semantic Tech Hackathon 2018

As part of the 2018 SciBite User Group Meeting, hosted by our friends at Pfizer, we are also hosting our very first Hackathon.
When: Friday 12th October 2018 | Where: Pfizer, Kendall Sq, Boston, MA | Time: 09:00-17:00
Event attendance is by application ONLY and is FREE.
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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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Microbiome analyzer supports IBD patients at home

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 and Hadoop: Transforming Big Data

In this post we explore how SciBite's semantic platform fits into these infrastructures and how it can be used to unlock the knowledge held in text form within an organisation to power next-generation analytics and insight.
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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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Ontology mapping: You say tomato I say Solanum Lycopersicum…

In this post, we explore this important but often overlooked topic and discuss its relevance to the work of SciBite and other groups, such as FAIR and the Pistoia Alliance within the broader scientific community.
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Of Burns and Bums: Machine Learning surprises!

As many of our regular visitors will know, the focus of our work here at SciBite is unlocking the knowledge held in the vast amount of biomedical text researchers have access to. Sometimes this yields well, interesting, results...
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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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SciBite and ChemAxon to Deliver an Integrated Solution for Biology and Chemistry Research

Cambridge, UK - SciBite, the award-winning semantic analytics company, today announced a strategic partnership with ChemAxon, the leading cheminformatics company, enabling Pharmaceutical companies to capitalise on unlocking the wealth of R&D data that is at their disposal.
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SciBite are finalists in Bio-IT World 2018’s Best Practices Award

We’re finalists! SciBite has been shortlisted for Bio-IT World's prestigious Best Practices #Award at the upcoming Expo on 15-17 May. We’ve been nominated for our ground breaking collaborative project with Pfizer, ClassifR.
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UK healthcare text analytics network conference, Manchester UK

Michael and I are just back from a visit to the Healtex conference, held in Manchester last week. It’s organised as part of the network that brings together folks interested in healthcare NLP from across healthcare providers, academia and commercial organisations.
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Named entity “un-recognition”

How do you automate redaction of personal and sensitive data?
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Drug repurposing, rare diseases and semantic analytics

In this blog we cover how to look potentially reduce the cost of and speed up the repurposing pipeline.
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A hacker’s guide to understanding bio-ontology jargon

Perfect for those new to bio-ontologies or who work with ontologists - a whole new vocabulary deciphered!
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CCC launches RightFind Insight, transforming scientific research

Just released by the Copyright Clearance Center, a semantic search solution applied to full-text articles
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DOCstore 1.2 – the semantic search tool is released and live

Search just got a whole lot more powerful. DOCstore enables researchers to harness the power of semantic analysis search to rapidly and comprehensively scan multiple biomedical sources.
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SciBite wins the British Business Award for Innovation

The scoop on our latest award!
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Taking semantic search to full text

Guest post from CCC, leader in creating global licensing and full content solutions, on the advantage of full text for semantic search.
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SciBite hosts its inaugural User Group Meeting

SciBite's first User Group Meeting took place on Tuesday 19 September. Read on to find out how it went...
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GSK Japan selects semantic platform to enhance pharmacovigilance capabilities

SciBite today announced that GSK Japan, one of Japan’s leading research-based pharmaceutical and healthcare companies, has selected SciBite’s Semantic Platform to enhance pharmacovigilance capabilities and deliver on its commitment to improve the quality of human life.
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VOCab of the Week: ORPHAN

Gaining a deeper insight into rare diseases with our ORPHAN VOCab.
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VOCab of the week: Food, nutrients and micronutrients

A closer look at our food, nutrients and micronutrients VOCab
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Best of Show awarded to SciBite at Bio-IT World 2017

SciBite is delighted to announce that we've been awarded Best of Show at Bio IT 2017!
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Graph technologies to help solve the challenges of rare diseases research

Rare Disease Day took place on 28 February, and to help publicise it, we thought we’d raise awareness of the kind of work happening in this area within the pharmaceutical industry, and how big data tools are impacting those efforts.
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We’re Bio-IT World 2017 Best of Show finalists!

SciBite announces they have been shortlisted as a finalist in the Analysis and Data Computing category for the Best of Show Award at Bio-IT World 2017.
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TERMite 6.1 release

Announcing the latest release of SciBite's semantic engine, TERMite 6.1.
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Machine Learning and phenotype triangulation

Disease detective part 3:
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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Exploring mechanistically-related diseases through shared phenotypic profiles

Disease detective part 2:
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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Rare disease collaboration networks

Disease Detective Part 1:
In celebration of Rare Disease Day 28th Feb, we have a 3 part blog post looking into some of the challenges/analysis techniques involved in the research process.
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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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Fuzzy matching now in TERMite

In the latest release of TERMite, we now include a fuzzy matching feature to help identify incorrectly spelt concepts in text.
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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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Exploring disease phenotypes

To achieve the best results in exploring target-disease biology, researchers regularly apply multiple approaches. Reviewing direct protein-disease relationships is a simple but powerful technique for gaining an initial view but will only get you so far.
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High Performance Ontology Engineering

One of the key aims of SciBite is to help our customers work with public ontologies in text mining applications. While these ontologies are very valuable resources, they are often built for the purpose of data organization, not text mining.
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SciBite open for business in Japan!

SciBite announces new operation in Japan and launch seminar 21st July in Tokyo.
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Global Zika virus research trends

Over the last 18 months, there has been a predictable surge in research on the Zika virus as the scientific community try to better understand the disease area. We decided to take a look at this topic to see how much research we being done across the globe.
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TERMite v5.9 now available

Announcing the latest version of our flagship text analytics software for life sciences, TERMite 5.9.
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Building for the cloud: SciBite’s architecture principles

At SciBite, we’ve created a range of powerful biomedical text solutions including TERMite for live semantic annotation, TExpress for text-mining and DOCStore for semantic document search. Our tools are specifically designed to be deployed in a wide range of different circumstances.
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Semantically-Powered Social Collaboration

How 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?
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SciBite becomes new Pistoia Alliance member

SciBite are delighted to join the Pistoia Alliance helping to address some of the challenges faced with big data in Global Life Sciences R&D. We look forward to meeting all the attending members at the European Conference starting tomorrow.
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The Relationship Game – Knowledge Graphs

Scientific knowledge can be represented as relationships between things. Thousands or millions of such relationships make a knowledge graph or network analysis. SciBite technology enables extraction of these relationships, and in doing so, can uncover knowledge that might otherwise have remained hidden
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The 5 Star of Structured Data

Sir Tim Berners-Lee, the creator of the Internet, defined a 5-star deployment scheme for open data. In recent customer discussions, we’ve talked about a similar scheme to describe the status of data across their organisation and how text analytics can help contextualise unstructured data.
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Game, set and match

There’s been a lot in the news this week about Maria Sharapova’s failed drug test. The above quote in particular caught our attention here at SciBite Towers.
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The Evolution of Data

Over 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.
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Meet the Team

SciBite's March meeting presented a great opportunity for a company photograph.
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Semantics in Enterprise Search

Enterprise 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?
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Loving the Data Others Don’t

Like 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.
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