RAIR Health Limited ("RAIR" or "the Company"), an applied AI and clinical data start-up, today released RKG.v3, its third-generation knowledge tool that adds tissue and cell type associations to its existing collection of proteins, genes, transcripts, SNPs, diseases and drugs.
RAIR Knowledge Graph
RAIR’s knowledge tool gives researchers an unparalleled opportunity to use state-of-the-art graph technology to discover, interact and draw insight from a vast store of structured and unstructured knowledge. RKG.v3 comprises over 2 million entities and several million relationships, covering protein pathways, disease associations, drug interactions, and gene expressions. The addition of cellular associations enables researchers to visualise and examine each of these within the refined context of a specific cell or tissue.
RKG.v3’s ability to uncover hidden relationships from widely separated data comes from semantically connecting data across a wide range of public-domain databases and research abstracts. This multi-omic, big-data tool can help generate ideas for drug development and repurposing, biomarkers for early diagnosis, and improved treatment pathways.
Michael Doyle, CTO of RAIR Health, said: “The latest release of RKG.v3 is an important milestone for RAIR Health. The breadth of information it contains and insights it can generate will help researchers generate better quality ideas more quickly. Its ability to incorporate customer data also gives us opportunities to partner with data owners to transform their legacy research data assets into proprietary knowledge.”
RAIR can create versions of RKG.v3 for customers which incorporate their own proprietary research data, or RAIR’s own real-world data, in order to create bespoke in-house tools and joint subscription products.
For further information, please contact:
RAIR Health Limited
Steve Cox Tel: + 44 (0) 20 7924 2345
Chief Executive Officer
About RAIR Health Limited: RAIR is an applied AI and clinical data start-up, based in London. It is focussed on sourcing clinical data sets to meet the growing demand for real-world data in life science research and development, and the application of AI to extract proprietary insights from it; leading to new therapeutic, diagnostic or algorithmic products and services. RAIR’s therapeutic focus is on chronic diseases that manifest in the eye, which include both ophthalmological conditions as well as larger therapeutic areas like cardiovascular, rheumatological and neurological disease.
Please visit www.rair.ai
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