![]() |
![]() |
In the fourth and final blog in this series Scibite’s Head of Ontologies, Jane Lomax, shares her top 10 simple rules to start and progress your FAIR data journey.
Read![]() |
![]() |
Technological advancements exhibit varying degrees of longevity. Some are tried and trusted, enduring longer than others, while other technologies succumb to fleeting hype without attaining substantive fruition. One constant, in this dynamic landscape is the data.
Read![]() |
![]() |
Discover the past and future of microbiome-based healing. From ancient remedies to modern AI, learn how SciBite's groundbreaking approach blends Large Language Models (LLMs) with advanced tech to unravel the potential of therapeutic microbiomes.
Read![]() |
![]() |
In a world where technology plays an increasingly pivotal role in shaping our lives, it is crucial to recognize the contributions of women and the importance of empowering the next generation of female tech professionals.
Read![]() |
![]() |
In this blog, we’ll explore a selection of the many ways organizations can leverage the rapid developments in data discovery, machine learning, and data mining to release value from this asset.
Read![]() |
![]() |
In this part of our blog series, "Unlocking important real-world evidence from patient data," we will demonstrate our expertise in various important data domains using SciBite tooling, including problem list diagnoses, lab orders, and medication orders.
Read![]() |
![]() |
In our previous blog, we explained why FAIR data is important not only for biotech and pharmaceutical companies but also for their partners. Here we describe how ontologies are the key to having the richly described metadata that is at the heart of making data FAIR. Let’s explore how ontologies help with each aspect of the FAIR data principles…
Read![]() |
![]() |
In this three-part blog series, we explore the challenges healthcare organizations face in unlocking patient data for real-world evidence. In part 1 Unlocking Important Real World Evidence (RWE) from Patient Data – Why and How?
Read![]() |
![]() |
For many organizations, the idea of adopting FAIR can be confusing and daunting. Over the coming weeks, we’ll present a series of blogs to help demystify FAIR. In this series, we’ll cover topics including how ontologies provide the key to being FAIR, and how FAIR enables you to get more value from your data.
Read![]() |
![]() |
Identifying KOLs enables our customers to be the first to follow the latest trends and markets or start new collaborations. As you can imagine, spotting and engaging KOLs as fast and accurately as possible is crucial - read more to understand how.
Read![]() |
![]() |
Large language models (LLMs) have limitations when applied to search due to their inability to distinguish between fact and fiction, potential privacy concerns, and provenance issues. LLMs can, however, support search when used in conjunction with FAIR data and could even support the democratisation of data, if used correctly…
Read![]() |
![]() |
The Biocuration Conference this year was held in the beautiful historic town of Padua in the Veneto region of Italy, renowned for its ancient University and picturesque old town. The stylish and relaxed atmosphere was the perfect place for catching up with old friends and establishing new connections and collaborations.
Read![]() |
![]() |
SciBite has won the Innovative Practice Award at Bio-IT World 2023 for its collaboration with the City of Hope and also for its pivotal role as the ontology ecosystem in AbbVie’s Innovative Practices Award win.
Read![]() |
![]() |
Last week SciBite was lucky enough to attend, and present at, the Pistoia Alliance Annual Spring Conference ‘23, held at the fantastic Leonardo Royal Hotel, St. Pauls, London. Read the thoughts of our Director of Technical Consultants, Joe Mullen
Read![]() |
![]() |
What do medical devices and medicines, food products and cosmetics, household products and even smoking devices have in common? They all contain multiple ingredients, from natural to synthetic ones, in different quantities, all of which will be exposed to the population.
Read![]() |
![]() |
GPT3 is a large language model that is capable of generating text with very high fidelity. Unlike previous models, it doesn't stumble over its grammar or write like an inebriated caveman. In many circumstances it can easily be taken for a human author, and GPT-generated text is increasingly prolific across the internet for this reason.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
Patient X, suffering from an untreatable gastrointestinal disease, chats with a large language model 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?
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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).
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
SciBite’s ontology management platform CENtree won ‘Best of Show” at this year’s Bio-IT World 2022. Build the foundations for data sharing with our collaborative ontology management platform.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
SciBite and Sinequa's new collaboration combines custom ontologies with a powerful search platform to help researchers find answers fast.
Read![]() |
![]() |
In a recent webinar, SciBite and Stardog team members demonstrated how to build a knowledge graph to identify candidate drugs for a rare disease.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read![]() |
![]() |
SciBite and L7 Informatics announce joint partnership to support discovery and collaboration in the life sciences.
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.”
Read![]() |
![]() |
We’re thrilled to announce that SciBite has been named ‘Technology Company of the Year’ at the Cambridge Independent Science and Technology Awards!
Read![]() |
![]() |
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.
Read![]() |
![]() |
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.
Read“Do you have a pre-made knowledge graph covering biomedical literature?” is a question we often hear at SciBite. The answer is yes we do, and in this blog post we’ll describe what our SciBite Knowledge Graph is, its content and the types of questions it can answer.
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.
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 organizational systems.
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.
ReadThis blog focuses on the use and value of data catalogs 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 manage their data better.
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.
ReadSciBite was 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.
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.
ReadIn this blog we 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.
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.
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.
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.
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.
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?
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.
ReadSciBite, 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.
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%.
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.
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.
ReadOnly 50-75% of 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. Text mining drug labels for genetic factors influencing efficacy and safety to support clinicians at the point of prescription.
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.
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.
ReadSciBite, announces 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.
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
ReadGuest post from CCC, leader in creating global licensing and full content solutions, on the advantage of full text for semantic search.
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
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.
ReadDisease 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.
ReadDisease 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.
ReadPerkinElmer, Inc., today announced sophisticated scientific semantic enhancements to the PerkinElmer Signals™ Perspectives platform, powered by SciBite and Attivio®.
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?
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.
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
ReadGet in touch with us to find out how we can transform your data
© SciBite Limited / Registered in England & Wales No. 07778456