March 31, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Healthcare big data analysis

Using big data for better breast cancer diagnosis

Knowing what’s behind a breast lump – whether it’s a benign tumour or a fast- or slow-growing cancer, is vital. Researchers in the US are looking at using big data analytics to tell the difference between MRI results, which could help doctors get the right treatment to the right women.

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March 29, 2014 by Suzanne Elvidge in Big data, Data analytics, Data mining, Healthcare big data analysis

Data mining EMRs to predict infection risk

Electronic medical records (EMRs) are a huge resource of data, but it needs to be filtered carefully to get to the nuggets of information amongst the noise. Researchers from UC Davis have mined through mountains of data to find that just a small handful of routine pieces of information can

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March 28, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics

The big data concept takes on the truly tiny

Molecular motors or motor proteins are complex proteins that have a range of roles within a cell, such as moving substances around or helping muscles to contract. However, the fact that these molecules have moving parts makes them hard to study. Biophysicists at Rice University in the US have used

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March 20, 2014 by Suzanne Elvidge in Big data, Data analytics, Data mining, Healthcare big data analysis

Tracking HIV outbreaks using Twitter

Every day, Twitter generates vast amounts of data, and as well as being a way to keep up to date on news or spread gossip, a big data analysis of tweets has potential to track the outcomes of HIV risk behaviour, according to some research coming out of the University

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March 02, 2014 by Suzanne Elvidge in Big data, Data analytics

The long game: Bringing together PCR and big data

Improving techniques in PCR (polymerase chain reaction) and next-generation sequencing are increasing the amount of data generated (see this post on the xxpress PCR blog). The use of better and quicker big data techniques and data analytics will help researchers make the most of this data, for example in increasing

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