August 14, 2015 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining

Researchers use big data to learn more about stroke risk

Atrial fibrillation (AF), a disorganised beating of the heart, increases the chance of blood clots and stroke, but it is not entirely clear when the patient is at most risk. US researchers, including the Stanford University School of Medicine, have used continuously-recorded medical information from patients with cardiac implantable electronic

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August 10, 2015 by Suzanne Elvidge in Big data, Big data in research, Drug development

Big data unpacks blood pressure reduction role of drug combination

Doctors often prescribe triamterene along with the diuretic hydrochlorothiazide in high blood pressure because it protects the body’s levels of potassium. However, its role could be more important than that – in a recent big data study, triamterene boosted the blood pressure impact of hydrochlorothiazide alone. The results were published

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July 26, 2015 by Suzanne Elvidge in Big data, Big data in research, Data analytics

Bioinformatics finds a route through high-throughput biological data

High-throughput generation of genomics data leads to huge quantities of information about the inner workings of the cell, but this requires the right kind of analytics for interpretation. Researchers at The Genome Analysis Centre (TGAC) and Jagiellonian University have used a new workflow to find links between metabolites and genes

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July 12, 2015 by Suzanne Elvidge in Big data, Big data in research, Data analytics

Genetic analysis shows rare mutations to be more common in schizophrenia patients

Schizophrenia is known to have a genetic element, and some of the commonly-occurring mutations have been used to power a potential diagnostic. However, the inheritance pattern is complex, and rare coding mutations also play a part. Researchers mining through genetic variants have found that people with schizophrenia carry rather more

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July 05, 2015 by Suzanne Elvidge in Big data, Big data in research, Drug development

Big data finds mechanisms behind cartilage formation

Researchers at the University of Tokyo now understand more about the mechanisms behind cartilage formation by using big data to unpack the action of the Sox9 protein during cartilage formation. The research was published in Cell Reports. Cartilage formation is important in skeletal growth until puberty, and in the articulation

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June 25, 2015 by Suzanne Elvidge in Big data, Big data in research, Data mining

PPI datamining suggests a link with heart attack

Proton pump inhibitors (PPIs) are used by many millions of people every day to treat heartburn and gastroesophageal reflux disease (GERD). However, according to a study in PLoS One, they could increase the risk of a heart attack by up to a fifth. There have been concerns about clinical outcomes

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June 21, 2015 by Suzanne Elvidge in Big data, Big data in research, Data mining

Is your disease risk written in your date of birth?

Astrologers believe that your fate is written in the stars at the time of your birth goes back to the third millennium BCE or before. While this view isn’t supported by science, there is evidence from datamining that the month of your birth could actually have an impact on your

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June 05, 2015 by Suzanne Elvidge in Big data, Big data in research, Data mining

Using data mining to understand cell function and disease

Knowing how genes work together in different cells and tissues would be a step forward in the study of health and disease. According to some recent research at from universities, foundations and medical schools across the US, big data and data mining could be bringing us closer to understanding, according

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April 19, 2015 by Suzanne Elvidge in Big data in research, Data mining

Big data ‘Wikipedia’ for neurones

One of the challenges with big data in the biological and medical sciences is dealing with the inconsistencies in collecting and reporting. A literature-based database developed at Carnegie Mellon University, described as a ‘Wikipedia’ for neurones, could help researchers to understand neuronal diversity, one of the bigger big data problems

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March 31, 2015 by Suzanne Elvidge in Big data, Big data in research, Data mining

Big data bet on the gephyrin gene reveals secrets about human history and disease

Gephyrin is a protein that multitasks – it regulates receptors in the brain, it has been linked with epilepsy, Alzheimer’s disease, schizophrenia and other neurological diseases, and it means that the body can synthesize an essential trace nutrient. Using big data, computer scientists at Washington University in St. Louis’ School

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