July 22, 2014 by Suzanne Elvidge in Big data, Big data in research, Data mining, Healthcare big data analysis

Mapping human and animal diseases using big data

A big data project looking at the relationships between human and animal diseases and their hosts could hold the key to tackling disease outbreaks around the globe. The Enhanced Infectious Diseases (EID2) database, developed by the Liverpool University Climate and Infectious Diseases of Animals (LUCINDA) team, has been funded by

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July 14, 2014 by Suzanne Elvidge in Big data in research, Data analytics, Healthcare big data analysis

Diving into the data helps track kidney transplant outcomes

Scientists at the University of Leeds are using big data and data analytics techniques to improve the outcomes for people having kidney transplants. The same technology has potential to predict outcomes for other diseases. Biomarkers are useful tools to diagnose and predict outcomes for disease, identify the best treatment, and

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June 29, 2014 by Suzanne Elvidge in Big data, Big data in research, Data analytics, Data mining, Healthcare big data analysis

Mining into the depths of health record data

There is a wealth of data in medical records, but the difficulty is finding the essential nuggets of information that can guide research and decisions in precision medicine. Researchers in the US and Denmark have teamed up to find more out about the progression of common diseases by mining data

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

Data mining and feature selection: Cutting the cost of big data

Big data can help make decisions on public health, but it can be complex and costly to collect, which is an important factor as healthcare and public health costs increase and research funding levels decrease. To be really useful, it also needs to be relevant, timely and accurate. In a

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June 11, 2014 by Suzanne Elvidge in Big data, Big data in research, Healthcare big data analysis

Alzheimer’s Disease Big Data DREAM Challenge launches

Alzheimer’s disease and other forms of dementia affect around 44 million people worldwide, and this could rise to 135 million people by 2050. A new challenge launched by the Global CEO Initiative on Alzheimer’s Disease (CEOi), Sage Bionetworks and DREAM Project is hoping to improve diagnostic innovation and find new

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June 04, 2014 by Suzanne Elvidge in Big data, Big data in research

Protein Data Bank gets its 100,000th molecule and meets data challenges

The Protein Data Bank (PDB), a data repository for the structures of biological macromolecules including nucleic acids, has archived its 100,000th (actually its 100,147th) molecule structure. This freely accessible data bank, used for pharmacology biomedicine, agriculture, ecology and bioinformatics research, has doubled its size in just six years. “The PDB

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May 31, 2014 by Suzanne Elvidge in Big data, Big data in research, Healthcare big data analysis

Cancer research collaboration looks into big data

Two institutions in the US have teamed up to delve down into cancer big data from more than 100,000 patients, aiming to understand more about cancer at a molecular level and accelerate discoveries in cancer research. The Moffitt Cancer Center and the Ohio State University Comprehensive Cancer Center have created

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May 27, 2014 by Suzanne Elvidge in Big data in research, Data mining, Healthcare big data analysis

The big data approach to personalised non-Hodgkin’s lymphoma treatment

Mining patients’ records could help doctors personalise the treatment of non-Hodgkin’s lymphoma to individual patients, according to the pioneers behind a new database created at the University of Leeds and funded by the charity Leukaemia & Lymphoma Research. Non-Hodgkin’s lymphoma is a form of blood cancer that is diagnosed in

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

Old drug to new through bioinformatics

Researchers have used bioinformatics to identify and reposition already approved drugs for the potential treatment of clear cell renal cell carcinoma (ccRCC), a form of kidney cancer where there are few treatment choices. The research was published in Molecular Cancer Therapeutics. Clear cell renal cell carcinoma can be cured in

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May 08, 2014 by Suzanne Elvidge in Big data, Big data in research, Data mining, Healthcare big data analysis

Patterns in preeclampsia

Preeclampsia, which affects around 5-8% of pregnancies, can be life-threatening for both mother and child. Bioinformatics researchers, led by Brown University School of Public Health, have searched through the big data and published literature behind this complex disease and found different genetic signatures for different manifestations. “There are probably very

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