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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March 16, 2015 by Suzanne Elvidge in Big data, Big data in research, Drug development, Healthcare big data analysis

Digital hearts catalogued for big data study

As part of an effort to create new drugs for heart conditions, researchers are combining 3D videos of beating hearts with genetic information from 1600 volunteers in a big data project, according to a BBC News report. The research is being carried out at the Medical Research Council’s Clinical Sciences

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March 11, 2015 by Suzanne Elvidge in Big data, Big data in research, Drug development

Big data portal launched for Alzheimer’s drug discovery

Alzheimer’s disease is a frightening diagnosis, and its numbers are rising. While there are treatments available, these temporarily improve symptoms or slow development, but do not stop or reverse the disease. A public-private partnership led by the National Institutes of Health (NIH) could speed the rate of research and drug

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March 03, 2015 by Suzanne Elvidge in Metagenomics

Enzyme researchers use metagenomics to come in from the cold

Researchers bioprospecting in extreme arctic environments have found novel enzymes that could have major impacts in the dairy and detergent industries, according to research presented at BIOPROSP_15, a biannual bioprospecting conference held in the northern Norwegian city of Tromsø in February 2015. The Artic is home to some very extreme

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February 28, 2015 by Suzanne Elvidge in Big data, Data analytics

Using data analytics to improve diabetes prevention

Many companies and research groups are working to treat diabetes, but preventing the disease will have a greater impact on health in at-risk groups. A team of US researchers are using data analytics to create a precision medicine approach to prevention of diabetes that steers efforts towards those who are

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February 25, 2015 by Suzanne Elvidge in Big data in research, Data mining, Drug development

Combination data finds a possible path to personalised medicine

Personalised medicine is the Holy Grail of many drug development programmes, particularly in cancer medicine, where different drugs can be combined to improve efficacy and battle the development of resistance, which is the cause of 90% of the cases where metastatic cancer treatment fails. However, finding the right combination and

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February 01, 2015 by Suzanne Elvidge in Big data, Big data in research, Data analytics

Using big data to forecast the flu

Understanding more about flu trends could reduce disease spread, but big data efforts have overestimated cases. Researchers at UC San Diego are working to combine traditional data sources with big data to improve the quality of prediction. Even though the flu season is generally starting to abate around now, it

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January 30, 2015 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining

Major analysis of scans and DNA cracks brain’s genetic code

The brain is a very complex organ, and its structure is largely shaped by genetics. To understand more about how changes in the brain’s structure can lead to disease or alterations in behaviour, researchers analysed data from genome-wide association studies (GWAS) in the largest collaborative study of the brain to

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January 25, 2015 by Suzanne Elvidge in Big data, Data mining

Sorting noise in data to shed a light in breast cancer

Pooling gene expression data from large studies provides some incredible insights into the biology behind disease, but analyzing this kind of information can be difficult because the data is noisy. Researchers from Dartmouth’s Norris Cotton Cancer Center have used denoising autoencoders to unpack the key information hidden in amongst all

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