October 19, 2014 by Suzanne Elvidge in Big data, Data mining, Drug development

Finding the way: A bacterial genome road map leads to drug discovery

The fight against antibiotic resistance might seem to be a losing one at the moment, but a team of US researchers is hitting back using a bacterial genome road map based on data mining to find new drugs. Many antibiotics are derived from natural products created by bacteria and other

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October 10, 2014 by Suzanne Elvidge in Big data, Big data in research, Data mining

Data mining leads to Alzheimer’s discovery

As part of an international research project, scientists have used data mining to find another piece of the Alzheimer’s disease jigsaw. The aim of the study, published in BMC Genomics, was to try to find the genetics underlying variations in the hippocampus, and see how this ties in with an

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September 30, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining, Healthcare big data analysis

Data mining critical care data: SSRIs and mortality in ICU

Patients in ICU (intensive care units) are particularly vulnerable, and any clues to ways of improving their outcomes are important. Mined data from patient records suggests that previous use of certain drugs could have an effect on outcomes for patients, showing that having access to large databases of medical records

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September 23, 2014 by Suzanne Elvidge in Big data, Data analytics, Healthcare big data analysis

Bioinformatics creates psychosis risk diagnostic

Certain types of psychosis can be prevented or managed, but it is hard to identify who is at risk. A group of US researchers, part of the North American Prodrome Longitudinal Study consortium, has created a blood test that has potential to pick out those who could benefit from prevention

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September 15, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining

Mining the medical literature with added automated reasoning

How fast can you read? Probably not fast enough to keep up with scientific papers published at a rate of almost two a minute, or catch up with the around 50 million papers sitting waiting to be perused in public databases worldwide. All is not lost, though – a team

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September 06, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics

Big data tags human and animal pathogen risk

Knowing more about the risk that pathogens present is important to understand how to maintain biosecurity or control and treat infection. A team of researchers from the UK and France has carried out big data analysis to look at pathogen impact for animal and human disease, seeking to find a

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August 31, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining

The complexity and simplicity of the brain: Neuroscience and big data

The brain is a very complex organ, with most sensory, cognitive and motor functions depending on the interactions of many neurons. As science advances, researchers can record the activity of more and more of these neurons, but this generates huge amounts of data that can be hard to analyse and

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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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August 11, 2014 by Suzanne Elvidge in Big data, Big data in research, Data mining, Healthcare big data analysis

Taking away heartache through health data: Data analysis looks at aspirin dose in heart disease

Analysis of health data in a new clinical trial could help researchers find out more about the best dose of aspirin in heart disease. Aspirin has been used to treat and prevent heart disease since the 1970s, but the best dose is in question. Too high a dose can cause

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August 04, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining, Healthcare big data analysis

Researchers hunt through gene chip data for Parkinson’s clue

A team of researchers funded by the National Institutes of Health (NIH) has used data from over 18,000 patients to find more than two dozen genetic risk factors involved in Parkinson’s disease, including six that had not been previously reported. Parkinson’s disease affects millions of people worldwide, and can lead

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