Healthcare and Life Sciences
Develop knowledge graph powered AI solutions
Quickly build knowledge graphs by picking up relevant public datasets from our large inventory, loading highly normalized and semantically interlinked data in your custom knowledge graph, ingesting your proprietary data and feeding your AI and analytical tools with high quality data with traceable provenance.
Sectors we benefit:
- Pharma
- Biotech
- Agro-Chemical
- Healthcare
- Health Insurance
- Medical Devices
- Consumer Goods
Customers
How You’ll Benefit
Improve insight discoverability
Unlock information hidden in structured and unstructured documents stored in regulated data management systems.
Apply advanced analytics
Automatically process diverse textual data streams to identify hidden insights, optimize manual workflows (e.g., tracing drug safety signals) and save valuable time.
Empower F.A.I.R. knowledge sharing
Improve data interoperability through implementing FAIR data principles to foster better collaboration and information reuse.
Enhance research intelligence
Еasily monitor newest trends and developments across your industry, new products, filed patents, mentions in news, etc.
Rely on data-driven decisions
Easily manage all relevant information for your business process(es) and research activities into a highly interconnected network of knowledge.
Automate your claim processing
Maintain referential knowledge base of known medical facts for checking inconsistencies in health insurance claims.
Business Applications
Discovery in Clinical Trials
Quickly and easily find the information you need to address requests from regulatory agencies or design your research activities.
Medical Coding of Patient Records
Break the productivity barriers and transform the raw patient data into structured knowledge.
Knowledge Graph Drug Discovery
Extract knowledge and provide provenance for each underlying fact that supports your the scientific research.
Advanced Drug Safety
Uncover hidden patterns, new correlations and trends that can support stakeholders in taking PV related business decisions.
Clinical Intelligence
Boost your clinical intelligence by interlinking your data to improve availability and accessibility of high-quality information across the enterprise.
Medical Claims Processing
Automatically match billable activities with the medical necessities and the recommendations from regulators.
Medical Devices and Drug Products Market Intelligence
Automate some of the most labor-intensive steps in the market intelligence workflow.
Presentations
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Videos
Life Sciences and Healthcare Use Cases with Knowledge Graphs
Ilian Uzunov and Doug Kimball from Ontotext talk about Life Sciences and Healthcare use cases with knowledge graphs
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Videos
Ontotext Demo Days: AI Powered Target Discovery
A talk by Martina Markova, Business Analyst, and Stancho Yordanov, Product Manager & Senior Front-End Developer, presented at the Ontotext Demo Day in May 2022.
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Videos
KGF 2021 Talks: LinkedLifeData Inventory – Generate Value from your Knowledge Graph in Days
A talk by Ilian Uzunov, Sales Director Life Sciences and Healthcare, and Todor Primov, Head of Life Sciences and Healthcare, presented at the Ontotext and Partners Knowledge Graph Forum in October 2021.
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Videos
KGF 2021 Talks: Building Federated FAIR KG Based on a Scientific Interoperability Hub
A talk by Martin Romacker, Senior Principal Scientist in Scientific Solution Engineering and Architecture at Roche, presented at the Ontotext and Partners Knowledge Graph Forum in October 2021.
Case Studies
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Oxford Drug Discovery Institute Harnesses Target Discovery to Accelerate Alzheimer’s Breakthroughs
Ontotext’s Target Discovery solution helped Oxford Drug Discovery Institute accelerate target analysis and decision-making
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Research Lab at Queen’s University in Canada Accelerates Cancer Research with AI
Ontotext’s Target Discovery Platform helped a Queen’s University research lab accelerated research on receptor tyrosine kinase and unlocked new thinking patterns about cancer
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A Leading North American Biotech Company Advances The Fight Against Cancer
Ontotext empowers a biotech company to accelerate research and expedite the discovery of new insights for cancer immunotherapies up to 10 times faster by using data most effectively
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Life Sciences and Healthcare Use Cases with Knowledge Graphs
Ilian Uzunov and Doug Kimball from Ontotext talk about Life Sciences and Healthcare use cases with knowledge graphs
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A Leading US Children’s Hospital Identifies Data Connections for Deeper Insights on Impact of Faculty Research
Ontotext works with a leading US Children’s Hospital to build a comprehensive knowledge graph for tracking the scientific activities of their faculty members.
Showcase Demonstrators
News, Events & Blog Posts
Research Projects & Other Resources
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AIDAVA
Research Projects
AIDAVA aims at unlocking the full potential wealth of knowledge siloed inside healthcare systems by enabling interoperability, AI-readiness and reuse-readiness of heterogeneous personal health data (PHD) on institutional, national and EU scale.
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AI4EU-CODE
Research Projects
Classify Oncology Diseases: Espanol (CODE) is a project for AI-driven automatic ICD10 diagnosis coding of oncology medical records in Spanish funded by the European Union’s Horizon 2020 research and innovation programme as an AI4EU Solution for the challenge “Identification of Colon Cancer Risk Factors”
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Accelerated R&D with a FAIR Data Fabric in Life Sciences
Webinars
In this webinar, Ontotext and metaphacts present a modular approach to R&D data discovery and knowledge consumption in Life Sciences & Pharma using metaphactory & GraphDB
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Generate Value from Your Knowledge Graph in Days
Webinars
In this webinar, Ontotext and metaphacts present an approach to kickstart your knowledge graph journey and get you from idea to production in days
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TheFSM
Research Projects
TheFSM aims to develop an industrial data platform improving the way food certification takes place in Europe and give it a digital boost.
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EXAMODE
Research Projects
The EXtreme-scale Analytics via Multimodal Ontology Discovery & Enhancement project (EXA MODE) is a Big Data project for the Healthcare, involving the development and release of extreme analytic methods and tools that are adopted in decision-making by hospitals.
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Building AI-powered Drug Adverse Events Monitoring Service
Webinars
In this webinar, we will demonstrate how the complex process of capturing all important AERs data elements of a semantic literature in a consistent way can be automated with the help of semantic technologies.