Life Sciences and Healthcare
Supercharge Research & Drug Discovery with AI-Powered Knowledge Graphs
Unleash groundbreaking insights and accelerate hypothesis generation by integrating public and proprietary data into comprehensive knowledge graphs—enhanced by GenAI and LLMs.
Sectors we benefit:
Pharma
Biotech
Agro-chemical
Healthcare
Health insurance
Consumer goods
Industry leaders trust us
Benefits
Shorten time to insights
Uncover hidden insights by unifying public and proprietary data to unlock information, identify patterns.
Make data-driven decisions
Integrate all relevant information into a highly interconnected knowledge network to mitigate risks.
Enhance research intelligence
Easily monitor industry trends, new products, trials progress, patents, and mentions in scientific publications.
Multiply the value of every data platform
Use Semantic layers and F.A.I.R. data principles to improve interoperability, fostering collaboration, sharing and reuse.
Unlock data hidden in text
Automatically process diverse textual data streams to identify hidden insights, optimize manual workflows (such as tracing drug safety signals) and save time and effort.
Apply advanced analytics
AI thrives on quality data. Ensure that data fed into an AI is consistent, interpretable, and actionable.
Get access to 200+ public datasets and ontologies in RDF with Ontotext’s LinkedLifeData Inventory.
Business applications
- Cut bench-to-clinical trial time.
- Analyze, classify and find new potential drug targets and applications.
- Sift through complex information to accelerate drug discovery, design research activities, address requests from regulatory agencies.
- Gain deep insights in your clinical research by efficiently uncovering data and connections across various proprietary and public repositories.
- Boost your clinical intelligence and easily manage medical data. Unify business information improve availability and accessibility of high-quality information across the enterprise.
- Easily manage medical data.
- Facilitate pharmacovigilance related business decisions.
- Uncover hidden patterns, new correlations and trends to easily trace safety information throughout the entire drug development lifecycle.
- Transform raw patient data into structured knowledge to identify hidden relationships between entities, and trends in patient data.
- Process automatically large volumes of records and extract and semantically index data about patient diagnoses, treatments, medications, adverse events and medical history.
Automate and simplify the process of matching billable activities with medical necessities and regulator recommendations.
Learn more
Automate some of the most labor-intensive steps in the market intelligence workflow. Monitor big players, latest developments, patents, mentions in the news.
Learn moreUse cases
Drug discovery & repurposing
How you benefit:
- Holistic view around gene, protein, interactions, disease, drugs, clinical trials, published articles.
- Improved research experience with access to deep and broad diverse data for meaningful insights.
- Accelerated hypothesis generation and evaluation by over 1000%.
- Minimized risk in new research effort.
Identify new targets and drug repurposing candidates with Ontotext Target Discovery.
Risk management and compliance
How you benefit:
- Faster response time to regulatory requirements and improved preparedness for all risks in advance.
- Lower risk of fines imposed by regulatory bodies.
- Improved company reputation and its ESG standing.
