December 20, 2014 by Suzanne Elvidge in Big data

A fashion for big data

As a little bit of festive fun, here is some news from the fashion world. According to Heng Xu, associate professor of information sciences and technology at Penn State, big data can be used to identify a network of influence among major designers and track how these style trends move

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December 16, 2014 by Suzanne Elvidge in Musings

DNA-themed Christmas gifts

It’s that time of the year when you are looking for Christmas gifts for the scientist in your life. Have a look at this post on xxpress PCR for some great DNA-themed ideas.

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

Mining Twitter data opens a window on mental health

Social media generates a lot of information every day, from pictures of cats to discussions of science and politics. However, it can also been used to monitor outbreaks of disease, including infectious diseases such as flu and the winter vomiting virus. In some of the latest reports on the medical

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December 07, 2014 by Suzanne Elvidge in Big data, Big data in research, Data mining, Drug development

Data links gene to tamoxifen resistance

The hormone treatment tamoxifen is used to treat estrogen receptor-alpha (ER) positive breast cancers and to prevent their recurrence, but the lack of response in some tumors is an unmet medical need. Through data mining, researchers have made a link between the resistance and overexpression of a gene, MACROD2, which

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November 30, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining, Drug development

Using bioinformatics to create cancer vaccines

Biologists, immunologists and computational bioinformaticians have worked together to find protein mutations on cancer cells that could lead to new personalised vaccines. The research has been published in the Journal of Experimental Medicine. As cancer cells mutate, they create new proteins on their surface that could be targets for vaccines;

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November 24, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Healthcare big data analysis

New drugs for old: Big data pinpoints a way to prevent stent disease

Patients who have had their arteries unblocked using stents or balloon angioplasty can find that their arteries become obstructed again, sometimes after only a few months. Researchers at Stanford University School of Medicine have used big data to repurpose a marketed cancer drug. This has potential to create a better

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November 18, 2014 by Suzanne Elvidge in Big data in research, Data analytics, Healthcare big data analysis

Casting a data analytics eye over glaucoma

Understanding more about the genetics underlying glaucoma, where increased pressure within the eye can lead to irreversible blindness, could lead to personalised medicine for different forms of the disease. Researchers at the University of Liverpool, in the UK, have used data analytics and genome sequencing to find out more about

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November 07, 2014 by Suzanne Elvidge in Big data, Big data in research, Data mining

Bringing big data to neuroscience

Investigators at the Cedars-Sinai Board of Governors Regenerative Medicine Institute have joined a five-centre consortium to collect and analyse data to help to develop a better understanding of motor neurone disorders, including amyotrophic lateral sclerosis (ALS; Lou Gehrig’s disease) and spinal muscular atrophy (SMA). The team will be funded work

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October 31, 2014 by Suzanne Elvidge in Big data, Big data in research, Drug development, Healthcare big data analysis

Investment in big data for cancer research at Oxford Uni

A £22 million Centre for Molecular Medicine at Oxford University, created as part of a partnership with the US-based Chan Soon-Shiong Institute, will focus on cancer genomics and molecular diagnostics. The aim of the project will be to understand more about the genetic and molecular changes underlying cancer, in order

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October 28, 2014 by Suzanne Elvidge in Big data, Big data in research

Big data supports pain decisions

Chronic pain is hard to treat, and is becoming more complex as more treatment options come onto the market. Big data research under way at the University of Texas at Arlington could help doctors make better decisions about personalised treatment and pain management, allowing them to make the best use

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