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By Duncan Graham-Rowe
``Techniques borrowed from artificial intelligence could help doctors assess just how serious a particular case of breast cancer is and, therefore, how to treat it.
``Breast cancer affects one in 10 women in the West, and kills more women than any other form of cancer. The disease itself can be relatively easy to treat if caught in time. As with most cancers, the danger is that it will spread to other parts of the body, especially if treated incorrectly.
``When tested on 100 women, the new technique proved to be nearly 90 per cent accurate at predicting the extent of this spread and whether they would survive for five years. The approach, developed by a team led by Raouf Naguib at the University of Coventry and Gajanan Sherbet at the University of Newcastle upon Tyne, builds on an existing analytical method called image cytometry.
``This analyses microscope images of tumour tissue, and uses a computer program to apply a standard statistical technique called logistic regression to predict whether the patient will survive for a given period. It bases its prognosis on factors such as the age of the woman and patterns of abnormalities in the tumour such as the rate of cell division and the shape of its cells' nuclei.''
Full story:
http://www.newscientist.com/news/news.jsp?id=ns99992587
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