August 27, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining, Drug development, Healthcare big data analysis

Data mining creates new cancer classification system

Data mining information from more than 3500 tissue samples has found a way to classify cancer into 11 subtypes, finding characteristics that are shared between tumours that arise in different tissues. These findings could help doctors predict patients’ outcomes and choose treatments, as well as guiding researchers in developing new

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May 19, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining, Drug development

Old drug to new through bioinformatics

Researchers have used bioinformatics to identify and reposition already approved drugs for the potential treatment of clear cell renal cell carcinoma (ccRCC), a form of kidney cancer where there are few treatment choices. The research was published in Molecular Cancer Therapeutics. Clear cell renal cell carcinoma can be cured in

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April 18, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining, Drug development, Healthcare big data analysis

Liverpool leads the way in big data collaboration for health

The demand for healthcare is rising across the world, which means that costs are climbing. By supporting the shift in emphasis from intervening in illness to promoting health, big data could allow continued improvements in healthcare while managing the spiralling outlay, according to the partners behind the UK’s Liverpool Big

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February 21, 2014 by Suzanne Elvidge in Big data, Data analytics, Drug development

Big data steps towards the creation of personalised medicine

Personalised medicine, the ability to tailor treatment to an individual, is a growing arena. Because it has the potential to make clinical trials more effective, or make it easier for physicians to pick the best treatment first time, it could improve outcomes for patients and cut costs for pharmaceutical companies

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December 31, 2013 by Suzanne Elvidge in Big data, Data analytics, Data mining, Drug development, GenoKey news, GenoKey's big data analyses, Healthcare big data analysis

GenoKey’s look at big data through 2013

Big data and data analytics is a growing field – by 2029, data production is likely to be 44 times greater in 2020 than it was in 2009, with a 4300% increase in annual data generation by 2020. The GenoKey blog, which has been looking at the growth of big

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November 22, 2013 by Suzanne Elvidge in Big data, Data analytics, Data mining, Drug development

Digging For Big Data Gold: Data Mining As A Route To Drug Development Success

The term Big Data is on everyone’s lips, from retailers to healthcare providers. But what actually is it, and how can it help biopharma R&D? Read more, including a mention of GenoKey, in Life Science Leader

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October 25, 2013 by Suzanne Elvidge in Data mining, Drug development

Mining mouse movements for psychiatric drug R&D

Developing drugs for different psychiatric diseases is difficult, partly because the animal models aren’t always effective. Data mining could be coming to the rescue though, according to researchers at Tel Aviv University‘s Department of Zoology, working in collaboration with the University of Maryland. The key to successful drug development is

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October 18, 2013 by Suzanne Elvidge in Data mining, Drug development

Data mining to cut side effects

Researchers at Berg Health and the Icahn School of Medicine at Mount Sinai are working together, using data mining and data analytics, mathematical models, biological networks analysis, and animal models to find better and safer therapeutics. This is known as systems pharmacology, and allows researchers to look at how drugs

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