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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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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, 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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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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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, 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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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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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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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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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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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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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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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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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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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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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’s ontology management platform CENtree won ‘Best of Show” at this year’s Bio-IT World 2022
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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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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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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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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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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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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, 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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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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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's new collaboration combines custom ontologies with a powerful search platform to help researchers find answers fast.
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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 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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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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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 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 announce joint partnership to support discovery and collaboration in the life sciences.
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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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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.”
ReadWe’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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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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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.
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.
ReadSciBite 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.
ReadIn 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.
ReadCambridge, 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.
ReadFind 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.
ReadIn 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.
ReadSciBite 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.
ReadSciBite 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.
ReadElsevier, 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.
ReadFind 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.
ReadThis 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.
ReadThroughout 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.
ReadSciBite, 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.
ReadIn 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.
ReadCambridge, 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.
ReadIn this blog, find out how our next-generation ontology management tool CENtree can be used to manage the allotrope ontologies.
ReadHere's how some of the SciBite team got on at the FAIRplus Project SME and Innovation Forum.
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.
ReadAt 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.
ReadOn the first day of Christmas SciBite gave to me... 12 top tips for creating labelled Machine Learning training data.
ReadSciBite releases latest version of CENtree, the revolutionary ontology management platform for the life sciences.
ReadCambridge, 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.
ReadSciBite 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.
ReadSciBite releases DOCstore 1.4, the latest version of the next generation, end-user search application.
ReadSciBite releases CENtree 1.0, the latest version of the innovative, collaborative platform which revolutionizes the way life sciences organizations manage and release ontologies.
ReadSciBite'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.
ReadLast 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.
ReadSciBite 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.
ReadWe’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.
ReadLearn 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.
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 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.
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.
ReadThis 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.
ReadIn 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.
ReadIn 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.
ReadOntologies 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.
ReadSciBite's latest TERMite 6.3 release includes a new set of clinical ontologies as it introduces a set of CDISC vocabularies.
ReadOntologies 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.
ReadSciBite 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.
ReadOntologies 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.
ReadSciBite 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.
ReadOntologies 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.
ReadWhen 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?
ReadIn this blog post SciBite's CSO and Founder Lee Harland addresses a very common question we are often asked by potential customers and partners...
ReadSciBite today announced being named as a winner of the Queen’s Award: Enterprise in International Trade – the highest official UK awards for businesses.
ReadCambridge, 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.
ReadSciBite has been shortlisted for Bio-IT World 2019’s prestigious Best of Show Award.
ReadCambridge, UK – SciBite, the award-winning semantic technology company, today announced the launch of SciBite Ontology Services.
ReadSciBite's innovative project with LifeArc has been shortlisted for Bio-IT World’s inaugural Innovative Practices Awards 2019.
ReadSciBite 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.
ReadOur 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).
ReadIn 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%.
ReadLast 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.
ReadSciBite continues to expand and announces the official opening of its first US-based office in Boston, MA.
ReadWhat’s the most useful way to visualize an ontology? SciBite CTO gives his views on answering this commonly asked question regarding ontology visualization techniques.
ReadSciBite 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.
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.
ReadCTO, James Malone shares his top 3 hacks to a semantic Hackathon, following SciBite's first US-based Hackathon in Boston, MA.
ReadSciBite hosts European Workshop at Novo Nordisk in Copenhagen, followed by first-ever US based User Group Meeting at Pfizer in Boston, MA.
ReadSciBite 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.
ReadAs 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.
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.
ReadThe work presented here describes the winning entry to a challenge set by ARM, Atos and Cavium at the Wellcome Genome Campus Hackathon 2018.
ReadOnly 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.
ReadIn 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.
ReadWith 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.
ReadIn 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.
ReadAs 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...
ReadCambridge, 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.
ReadCambridge, 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.
ReadWe’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.
ReadMichael 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.
ReadIn this blog we cover how to look potentially reduce the cost of and speed up the repurposing pipeline.
ReadPerfect for those new to bio-ontologies or who work with ontologists - a whole new vocabulary deciphered!
ReadJust released by the Copyright Clearance Center, a semantic search solution applied to full-text articles
ReadSearch 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.
ReadGuest post from CCC, leader in creating global licensing and full content solutions, on the advantage of full text for semantic search.
ReadSciBite's first User Group Meeting took place on Tuesday 19 September. Read on to find out how it went...
ReadSciBite 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.
ReadA closer look at our food, nutrients and micronutrients VOCab
ReadSciBite is delighted to announce that we've been awarded Best of Show at Bio IT 2017!
ReadRare 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.
ReadSciBite 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.
ReadDisease 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.
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.
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.
PerkinElmer, Inc., today announced sophisticated scientific semantic enhancements to the PerkinElmer Signals™ Perspectives platform, powered by SciBite and Attivio®.
ReadIn the latest release of TERMite, we now include a fuzzy matching feature to help identify incorrectly spelt concepts in text.
ReadWe 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?
ReadTo 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.
ReadOne 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.
ReadSciBite announces new operation in Japan and launch seminar 21st July in Tokyo.
ReadOver 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.
ReadAnnouncing the latest version of our flagship text analytics software for life sciences, TERMite 5.9.
ReadAt 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.
ReadHow 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?
ReadSciBite 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.
ReadScientific 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
ReadSir 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.
ReadThere’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.
ReadOver 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.
ReadEnterprise 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?
ReadLike 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.
ReadGet in touch with us to find out how we can transform your data
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