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Artificial Neural Networks in Individual Cancer Management


This consortium involves 2 PIs from 2 Institutions and engages clinicians and physicists; it will apply ANN and their associated analysis techniques to predict the life expectancy of cancer patients and to identify individualised patient management schemes. The outputs should be applicable to healthcare more generally (heart disease, diabetes, obesity etc). Grid-secure technology will be used to link the various sources of patient data to ANN computer frame and vice versa. The Manchester physics team has substantial computing and network infrastructure to support the research and will use grid technology to address security authentication problems. The project has been delayed by securing ethical and other permissions to use the databases (7mth), by the need to remove patient identifiable data, and by missing fields in patient records. Non linked databases became available in Dec 02 and the first linked database is expected in April 03. The ANN will be “trained” through exposure to a set of existing data. The team has national/international collaborations, is engaged in EU consortia, contributes to national/international fora and is training students.

Maturity: Initial Research
Region: UK
Type: Pilot
Grant Value: £200,000.00
Start Date: 01/04/2005
End Date: 30/09/2005
Project Status: completed
Funding Agency: MRC PPARC

Project Members
Prof A Cuschieri
Prof R Marshall

Collaborating Organisations
University of Dundee
University of Manchester

Component(s) Project Develops
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Application Area(s) associated with Project


Last Updated: 22 Jun 12 11:02
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