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Phil Verdemato Email
Head Software Engineering . SciBite
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At SciBite, we've created a suite of award-winning semantic analytics technology solutions in which unstructured and structured data are easily connected and can be used together for better informed decision making. SciBite's semantic software rapidly scans scientific text and identifies the key concepts stated, such as drugs, proteins, companies, targets, outcomes, measures. In doing so, unstructured text is transformed into ontology-based indexed data. Our modular platform provides the flexibility to implement a simple, easy to deploy solution fit for a broad range of purposes. Multiple deployment options from pre-built end-user applications through to 3rd party application integration mean that the value of semantics can now reach a much broader audience than ever before. Whilst the platform is first and foremost a powerful API, it can easily be expanded and SciBite offer a series of end-user applications for specific use cases including relationship extraction (drugs causing side effects, phenotypes seen in disease states, regulatory authority decisions etc.), transforming the way project teams share documents and browser-based tools that perform data-integration “on the fly†and connect social networks of colleagues with shared interests. Supporting the platform, is our expert-tuned vocabularies that identify many millions of biomedical terms that use public identifiers aiding data integration and covering a wide range of Life Science topics including Drugs, Pathology, Pharmaceutical Sciences, commercial and business activities. Many-fold enriched over any publicly available alternatives, these form a crucial part of managing the synonymous and ambiguous language found in unstructured scientific text. Proud winners of the Queen's Award for Enterprise in International Trade 2019.SciBite Address
Royston RoadCambridge, null
UK