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Diabetes study to spot linked health problems

A major research initiative using cutting edge data analysis techniques to better understand health complications experienced by people with diabetes has been launched.

The €1.5 million (£1.3m) research programme at the University of Edinburgh is being supported by the AXA Research Fund.

Symptom patterns

It aims to identify symptom patterns that might indicate if people with diabetes are likely to develop complications, such as heart disease or blindness.

Patients could then be offered therapies to prevent or delay their illness, experts say.

Improved care

The programme - which looks at both type 1 and type 2 diabetes - aims to improve care offered to patients and ultimately reduce strain on medical resources.

The project is being led by Professor Helen Colhoun of the University's Institute of Genetics and Molecular Medicine.

Quantifying, understanding and predicting risk in diabetes is important to our ability to optimise disease management and prevention of complications. The research funding we have received will allow us to focus on this important aspect of diabetes research.

Professor Helen ColhounAXA Chair in Medical Informatics and Life Course Epidemiology, University of Edinburgh

4 million

Around 4 million people in the UK are living with diabetes, a lifelong health condition that occurs when the body is unable to regulate levels of sugar in the blood.

In some people, it can lead to further health problems including heart disease, stroke and blindness.

Complications

Estimates indicate the NHS spends around £14 billion each year treating the disease and its complications.

Not all people with diabetes experience complications. The ability to identify those most at risk is limited, experts say.

Warning signs

Researchers will securely access anonymised healthcare data from people with diabetes living in Scotland to investigate potential warning signs.

The project will use the latest big data analysis techniques to spot patterns that could provide early indications of a complication.

Risk predictions

These insights will be used to develop computer algorithms that help predict which people are most at risk and likely to benefit from a targeted intervention.

The AXA Research Fund, a unique global Science Philanthropy initiative backed by the global insurer, is providing €1.5m support for the programme.  

Professor Colhoun’s project will use cutting edge big data analysis, which has the potential to lead to a greater understanding of diabetes, and other diseases, and has the possibility to open up countless opportunities to better manage diabetes. The potential benefits of the project both for patients and for the NHS could be significant.

Sonia Wolsey-CooperHead of Corporate Responsibility, AXA UK

Symposium

The project is being launched at a scientific symposium at the University of Edinburgh. Experts will discuss how using healthcare data can help them to better treat diabetes and other diseases – including cancer and psychiatric disorders.

Related links

Professor Helen Colhoun

MRC Institute of Genetics and Molecular Medicine

Edinburgh Medical School