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 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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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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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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January 16, 2015 by Suzanne Elvidge in Big data, Data mining, Drug development

Mining the human genome could spot Ebola targets

The Ebola virus causes a serious and often fatal infection, and has led to around 20,700 cases and over 8000 deaths in West Africa, mostly in Guinea, Liberia and Sierra Leone. US researchers have been mining into the human genome to see if they can find clues there to target

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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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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 19, 2014 by Suzanne Elvidge in Big data, Data mining, Drug development

Finding the way: A bacterial genome road map leads to drug discovery

The fight against antibiotic resistance might seem to be a losing one at the moment, but a team of US researchers is hitting back using a bacterial genome road map based on data mining to find new drugs. Many antibiotics are derived from natural products created by bacteria and other

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