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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