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A Synthetic Data Generator Service for Improving Public Health and Enabling Growth in the Health-Tech Sector

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Submitting institution
Brunel University London
Unit of assessment
11 - Computer Science and Informatics
Summary impact type
Technological
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Is this case study continued from a case study submitted in 2014?
No
Underpinning research subjects
  • Statistics
  • Artificial Intelligence And Image Processing
  • Information Systems

1. Summary of the impact

2. Underpinning research

3. References to the research

4. Details of the impact

5. Sources to corroborate the impact

Additional contextual information

Grant funding

Grant number Value of grant
1807_REG_PF: 104676 £790,000
Countries
  • England
Formal partners
  • Name(s) of formal partner(s): Richard Branson (MHRA), Puja Myles (CPRD)
Funding programmes
  • Innovate UK, Regulators’ Pioneer Fund
Global research identifiers
  • grid.423443.6,
Name of funders
  • Innovate UK, NHS X
Researcher ORCIDs
  • 0000-0002-8976-890X