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

Big data tools speed large-scale neuroscience research

Researchers looking into the brain are generating vast amounts of data, but it’s hard to find the useful information in amongst all the noise. Researchers at Janelia Farm Research Campus, Howard Hughes Medical Institute are working on ways that could help speed research. Neuroscience research is moving ahead fast, with

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July 30, 2014 by Suzanne Elvidge in Big data, Big data in research

Bringing big data in as a wildlife guardian

Big data is growing across the sciences, and its latest breakthrough is in conservation, where researchers have used data analytics techniques to pinpoint the best areas to set aside as preserves and to help biologists understand the evolutionary history of life on Earth. Conservation planning, particularly in times of rapid

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July 22, 2014 by Suzanne Elvidge in Big data, Big data in research, Data mining, Healthcare big data analysis

Mapping human and animal diseases using big data

A big data project looking at the relationships between human and animal diseases and their hosts could hold the key to tackling disease outbreaks around the globe. The Enhanced Infectious Diseases (EID2) database, developed by the Liverpool University Climate and Infectious Diseases of Animals (LUCINDA) team, has been funded by

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July 14, 2014 by Suzanne Elvidge in Big data in research, Data analytics, Healthcare big data analysis

Diving into the data helps track kidney transplant outcomes

Scientists at the University of Leeds are using big data and data analytics techniques to improve the outcomes for people having kidney transplants. The same technology has potential to predict outcomes for other diseases. Biomarkers are useful tools to diagnose and predict outcomes for disease, identify the best treatment, and

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

Mining into the depths of health record data

There is a wealth of data in medical records, but the difficulty is finding the essential nuggets of information that can guide research and decisions in precision medicine. Researchers in the US and Denmark have teamed up to find more out about the progression of common diseases by mining data

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

Data mining and feature selection: Cutting the cost of big data

Big data can help make decisions on public health, but it can be complex and costly to collect, which is an important factor as healthcare and public health costs increase and research funding levels decrease. To be really useful, it also needs to be relevant, timely and accurate. In a

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