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The evolution of RAG and what’s next for GenAI in the life sciences industry
DISQOVER uses the powerful concept of an ontology-based knowledge graph to integrate, link, and structure data.
Combined with AI-based semantic search and natural language processing, siloed data sources are turned into a single, uniform, and high-quality knowledge base.
Thanks to a powerful and easy-to-use interface, scientific researchers become true data citizens.
DISQOVER integrates seamlessly with established core technologies and market-dominant vendors in the bio-sciences industry.
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DISQOVER has helped us connect data sources, link them, and represent them in a visually appealing way. Moreover, ONTOFORCE takes away the headache of having to manage multiple data sources. With DISQOVER, everything is in one system, and ONTOFORCE takes care of it.
ONTOFORCE is not giving you just a framework - they give you a massive package of pre-linked public data that you can immediately plug your internal data into. On top of this, DISQOVER’s intuitive interface makes onboarding users straightforward so they can quickly start exploring the linked data.
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Using DISQOVER has certainly been a key way for us to save an awful lot of effort when visualizing data and enabling users to explore the data in a well-received, easy-to-use manner.
With ONTOFORCE’s next level search technology, we will be able to safely open up more clinical data for researchers than ever before, helping us to improve our care for children with cancer and to accelerate our pediatric oncology research. We’ve already received great support from ONTOFORCE’s data science experts in implementing DISQOVER so it is tailored to the needs of our organization.
The Target Assessment Data Lake powered by DISQOVER, represents a transformative step in our mission to bring innovative therapies to patients more efficiently. This initiative has streamlined one of the most critical aspects of our drug discovery process: target evaluation.
With the DISQOVER user interface, the time it takes to conduct cohort selection went down from weeks to minutes.
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