Big Data Institute
Research Company/Group
The Big Data Institute (BDI) is an interdisciplinary research institute that focuses on the analysis of large, complex, heterogeneous data sets for research into the causes and consequences, prevention and treatment of disease. Big Data methods are transforming the scale (breadth, depth and duration) and efficiency (data accumulation, storage, processing and dissemination) of large-scale clinical research. The work of the BDI requires people and projects that span traditional departmental boundaries and scientific disciplines, supported by technical resources to handle the vast quantities of data they generate. Source
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| Scope | National |
|---|---|
| Language | English |
| Country | United Kingdom |
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Recent Articles
Search ArticlesHow body fat is stored across organs may reveal hidden health risks, study suggests
Researchers from Oxford Population Health and theBig Data Institutehave contributed to a new study showing that how fat accumulates in the body is just as important for identifying different health risks as a person’s overall weight. Their findings suggest that looking at how fat is distributed across the whole body, including in and around multiple organs, could help identify people at higher risk and support more personalised prevention and treatment in future.
Trey Ideker
Trey Ideker is Director of the Big Data Institute. Previously, he served as a faculty member at UC San Diego since 2003, with current appointments in the Departments of Medicine, Bioengineering, and Computer Science and Engineering.
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Explore upcoming seminars, lectures, workshops and public events from the Big Data Institute.
Oxford-GSK collaboration in Biostatistics and Artificial Intelligence in Medicine
The GSK-Oxford Collaboration in Biostatistics and Artificial Intelligence in Medicine will draw upon biostatistical and artificial intelligence (AI) expertise across Oxford, whilst prioritising the development of innovative new tools and methods that translate to medical and biopharmaceutical research.
For postgraduates
Efficiently visualize inexpensive networks with leveraged opportunities. Phosfluorescently evolve exceptional opportunities before B2B opportunities.
Oxford-Novartis Collaboration for AI in Medicine
The Novartis-Oxford BDI Collaboration for AI in Medicine is a unique large-scale collaboration between the Big Data Institute (BDI) and the international pharmaceutical company Novartis. It is led by Dr. Habib Ganjgahi and Professor Thomas Nichols on the Oxford side, and by Dr. Dieter Haering and Professor Bernd Kieseier on the Novartis side.
study with us
Modelling adverse event processing in clinical trials Objectively measuring physical activity and its health consequences Using metabolomics to identify causal biomarkers in the development of diabetes The DPhil projects available at the Big Data Institute are currently administered by the Nuffield Department of Population Health (NDPH).
For undergraduates
Dramatically brand robust quality vectors for multimedia based functionalities. Dramatically evolve B2B services rather than innovative models.
Health Data Research UK – Oxford Region
HDR UK Oxford is part of Health Data Research UK (HDR UK), whose mission is to create one national institute to unite, improve and use the UK’s health and care data to improve people’s lives. The primary aim of the Oxford region is to build a dynamic, collaborative community focused on leveraging health data for impactful research.
Could GLP-1 drugs prevent blood cancers and other diseases of ageing?
A new international research programme will investigate whether glucagon-like peptide-1 (GLP-1) receptor agonists ‒ widely used to treat diabetes and obesity ‒ could be repurposed to prevent the progression of clonal haematopoiesis and its associated diseases.