June 28, 2013 by Suzanne Elvidge in Data mining, GenoKey people, GenoKey's big data analyses, Healthcare big data analysis

An interview with Henrik Kristiansen: Limitations of current healthcare analytics

Current healthcare analytics tools are limited by not being able to combine many biomarkers at any one time. In this Q&A, Henrik Kristiansen, chief executive officer at GenoKey, explains the issues and suggests some possible solutions for the future Q. What are the problems with current healthcare analytics? A. Current

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June 21, 2013 by Suzanne Elvidge in Data mining

UPMC uses big data in breast cancer research

Researchers at University of Pittsburgh Medical Center (UPMC) and the University of Pittsburgh are harnessing the power of big data to bring the promise of personalised, safer and more effective medicine closer to reality. In October 2012, UPMC created a $100 million five-year enterprise analytics effort, with partners Oracle, IBM,

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June 14, 2013 by Suzanne Elvidge in Data mining

Using big data to make healthier babies (and grownups)

Big data from medical records and other information from mothers and babies can provide some amazing insights into child health and outcomes, according to Janet Currie, PhD, a researcher and professor at Princeton University. Data in paediatrics can be sourced from a range of places, including birth records, hospital records

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June 06, 2013 by Suzanne Elvidge in GenoKey people, GenoKey's big data analyses

An interview with Erling Mellerup: The importance of combinatorial analysis

Many diseases, such as cancers, are caused by complex interactions of genetic changes and biological and lifestyle factors. However, a lot of research projects, despite analysis of thousands of genetic changes, only focus on single locus  strategies in the statistical analysis of the results, which may tell just part of

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June 03, 2013 by Suzanne Elvidge in Data mining

Applications for big data and data mining

Everyone is talking about big data (it’s even become the focus of postgraduate courses), and looking at data mining as the way to get the best out of these vast data sets. The combination of big data and data mining has many applications in the medical and pharmaceutical field, including

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