Narrative
The University of Manchester has pioneered research into context-aware text mining: methodologies to increase the utility and reliability of scientific claims automatically extracted from large-scale document repositories, such as scientific bibliographic databases.The research underpinned the formation of a new business, Biorelate Ltd., and their main product Galactic-AI™. Since 2014, Biorelate Ltd have increased the efficacy and economic viability of several companies, both small and large, in the pharmaceutical industry (e.g. AstraZeneca).
| Impact date | 1 Aug 2013 → 31 Jul 2020 |
|---|---|
| Category of impact | Economic, Technological, Health and wellbeing |
| Impact level | Adoption |
Research Beacons, Institutes and Platforms
- Institute for Data Science and AI
- Manchester Institute of Biotechnology
Documents & Links
- REF2021 impact case- Context aware text mining for the pharmaceutical sector REDACTED
File: application/pdf, 778 KB
Type: Text
Related content
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Research output
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BioContext: An integrated text mining system for large-scale extraction and contextualization of biomolecular events
Research output: Contribution to journal › Article › peer-review
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Cataloguing the biomedical world of pain through semi-automated curation of molecular interactions
Research output: Contribution to journal › Article › peer-review
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Towards semi-automated curation: Using text mining to recreate the HIV-1, human protein interaction database
Research output: Contribution to journal › Article › peer-review
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The pain interactome: Connecting pain-specific protein interactions
Research output: Contribution to journal › Article › peer-review