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Ontology Management
Harmonise technology through scientific ontologies adhering to public standards, whilst curating vocabularies
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Enterprise FAIR Data
The challenges of harmonising data to be Findable, Accessible, Interoperable and Reusable
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Text Analytics + Semantic Enrichment
Transform previously unusable text to data in a richly annotated, machine-readable and standardise data formats
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Semantic Search
Semantic search, visualise results, integrate into your existing platforms and automate your workflows
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Knowledge Graphs
Semantic enrichment technology that facilitates the production of knowledge graphs
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Artificial Intelligence
Combine deep learning and semantic algorithms to build powerful models that can exploit life science data and accelerate its use in R&D
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Why choose SciBite?
At SciBite, we're passionate about helping our customers get more from their data. We love what we do and we think you'll love working with us, here's why...
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Built by scientists for scientists
Our suite of semantic solutions is the culmination of the perfect storm of tens of years of experience
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Unique deep learning approach
Transforming previously unusable but scientifically relevant textual content into machine-readable clean data
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Putting customers at the heart
Our philosophy is to listen, engage & work together with our customers to make ground-breaking achievements
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Supporting the top 20 pharma
Our customers are utilising higher quality data, integrating more data much faster with greater accuracy
Our customers
News and opinion
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Training AI is hard, so we trained an AI to do it
GPT3 (which stands for 'generative pretrained transformer 3') 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 (and, we suspect, in the classroom) for this reason.
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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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