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The latest news from the cutting edge of semantic technology

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

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

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  2. 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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  3. SciBite And Hadoop: Transforming Big Data

    With the rise in machine learning and AI approaches to big data, systems that integrate into a complex ecosystem within large enterprises are increasingly important. Many companies are using Apache Hadoop to manage large data collections and orchestrate complex analytics across these resources. In this post we explore how SciBite's semantic platform fits into this infrastructure 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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  4. 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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  5. Ontology Mapping: You say Tomato I say Solanum Lycopersicum…

    What exactly is "ontology alignment"? Why is it important and how does it differ from other text-analytics methods? 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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  6. 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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  7. 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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  8. 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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  9. 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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  10. 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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  11. Named Entity “Un-Recognition”

    How do you automate redaction of personal and sensitive data?

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  12. Drug Repurposing, Rare Diseases and Semantic Analytics

    A look at potentially reducing the cost of and speeding up the repurposing pipeline.

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  13. 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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  14. SciBite at the Wellcome Genome Campus

    We've moved to the home of genomic research...

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  15. SciBite releases its eagerly awaited Vocabulary Editing Tool (VET)

    Meet SciBite's Vocabulary Editing Tool. Ergonomic, traceable, exceptional quality control.

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  16. Copyright Clearance Center 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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  17. DOCstore 1.2 – the semantic search tool is released and live

    Search just got a whole lot more powerful.

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  18. Season’s Greetings from SciBite

    Wishing you a festive Christmas and a peaceful and prosperous New Year.  Thank you to all of our customers - we've loved working with you in 2017 and here's to an even better 2018.

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  19. SciBite Acquires FactBio

    Award-winning life science technology provider acquires exciting semantic data management startup

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  20. SciBite wins the British Business Award for Innovation

    The scoop on our latest award!

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  21. 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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  22. 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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  23. GSK Japan Selects SciBite Semantic Platform to Enhance Pharmacovigilance Capabilities

    SciBite - the award-winning semantic analytics company, 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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  24. VOCab of the Week: ORPHAN

    Gaining a deeper insight into rare diseases with our ORPHAN VOCab.

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  25. VOCab of the Week: Food, Nutrients and Micronutrients

    A closer look at our Food, Nutrients and Micronutrients VOCab

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  26. 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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  27. We’re finalists!

    Bio IT World 2017 - Best of Show finalists

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  28. TERMite 6.1 release

    Announcing the latest release of SciBite's semantic engine, TERMite 6.1.

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  29. Disease Detective Part 3: Machine Learning and phenotype triangulation

    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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  30. Disease Detective Part 2: Exploring mechanistically-related diseases through shared phenotypic profiles

    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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  31. Disease Detective Part 1: Rare disease collaboration networks

    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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  32. Closing out 2016

    As we at SciBite slow down to spend some quality time with our families over the Christmas break, I wanted to share some of the 2016 highlights with you as our customers, partners, colleagues, friends and anyone else who might be interested!

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  33. 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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  34. 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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  35. SciBite partners with Copyright Clearance Center

    Combining high-quality scientific content with the ability to interrogate, analyze and interact with it in exciting new ways will deliver awesome results for customers involved in any science-based business

    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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  36. 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. Read on to find out how SciBite can help you to identify and explore phenotypic associations within a disease.

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  37. SciBite Japan Launch Seminar

    21st July 2016, SciBite Japan held our launch seminar in Tokyo.  

    With 100% attendance from registration and an excellent spread of interest from many pharmaceutical companies it was always going to be a good meeting.  

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  38. 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 organisation, not text mining. The reliance on vanilla public ontologies in text-mining will often lead to very poor results.

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  39. SciBite open for business in Japan!

    SciBite announces new operation in Japan and launch seminar 21st July in Tokyo.

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  40. 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 and what phenotypes/symptoms have been mentioned to date.

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  41. 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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  42. 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. What’s more, our tools are specifically designed to be deployed in a wide range of different circumstances, read on to find out more...

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  43. 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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  44. SciBite, A 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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  45. 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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  46. The 5 ★ 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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  47. 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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  48. 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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  49. Meet the Team

    SciBite's March meeting presented a great opportunity for a company photograph.

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  50. Semantics in Enterprise Search

    Enterprise Search, a complex challenge in extracting accurate results from the ever-increasing volumes and variability of data.
    But (and it’s a big but), how does a search system know what to look for?

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  51. 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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