May 24, 2013 by Suzanne Elvidge in Data mining

Data mining validates drug safety in peripheral artery disease

Data mining and text analytics have revealed that the risk of dangerous side effects of cilostazol, the only drug with a class IA rating for effectiveness in treating the painful condition intermittent claudication, may not be as high as previously thought. Cases of peripheral arterial disease (commonly known as hardening

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May 21, 2013 by Suzanne Elvidge in Data mining

Data mining and case-control data

Case-control studies investigate existing sets of data, such as electronic medical records or clinical trial databases, and compare cases (for example people with a certain disease, or who respond to certain drugs) with controls (healthy people, or non-responders). These can look back over long periods of time to create links

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May 15, 2013 by Suzanne Elvidge in GenoKey people

An interview with Mette Søgaard of GenoKey

In this Q&A, I talk to Dr Mette Søgaard, chief scientific officer at GenoKey, about her thoughts on GenoKey’s technology and its applications. Q. How did you get involved with GenoKey? A. I have been working with GenoKey for around a year. I first learned about the company through the

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May 03, 2013 by Suzanne Elvidge in Data mining

Unpacking clinical and genetic information to predict breast cancer risk

A diagnosis of breast cancer is a tough one to deal with, and even when treatment has seemed to be successful, some cancers will recur after five years. According to research presented at the 5th IMPAKT Breast Cancer Conference in Brussels, Belgium, a combination of genetic and clinical factors could

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