Automated high-dimensional outcome prediction in stroke (360G-Wellcome-092048_Z_10_Z)
Stroke is a significant cause of death and disability around the world yet patient outcomes are not improving as fast as those for similar conditions such as heart disease.A major cause is the difficulty in providing targeted care in a patient group with hugely diverse treatment needs. Dr Parashkev Nachev of the UCL Institute of Neurology, London has been given a Translation Award to develop a system for predicting outcomes in order to provide advance information on the optimal treatment for each patient. The system uses automated brain image analysis with high-dimensional computer-aided inference and exploits the finely specialized anatomical architecture of the brain, capturing the relation between the pattern of brain damage and the outcome in the patient with high fidelity. The Translation Award to Dr Nachev will be used to develop the technology to the point of direct clinical application.
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Grant Details
Amount Awarded | 392444 |
Applicant Surname | Nachev |
Approval Committee | Technology Transfer Challenge Committee |
Award Date | 2010-03-19T00:00:00+00:00 |
Financial Year | 2009/10 |
Grant Programme: Title | Translation Award |
Internal ID | 092048/Z/10/Z |
Lead Applicant | Prof Parashkev Nachev |
Other Applicant(s) | Prof Geraint Rees, Prof Masud Husain |
Partnership Value | 392444 |
Planned Dates: End Date | 2013-12-31T00:00:00+00:00 |
Planned Dates: Start Date | 2010-07-01T00:00:00+00:00 |
Recipient Org: Country | United Kingdom |
Region | Greater London |