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Research

£17m ‘green light’ for UK’s first Compound Semiconductor Research Foundation

25 March 2015

A £17.3m award that will put Cardiff University at the cutting edge of semiconductor technology has been announced by UK Government.

A hidden condition

17 March 2015

People living with chromosomal condition at high risk of multiple mental health problems.

‘Stem cell’ test could identify most aggressive breast cancers

4 March 2015

New approach has the potential to identify women who might need intensive treatment to prevent breast cancer from recurring or spreading.

‘One Drink One Click’ app launch

3 March 2015

A new mobile application has been launched to make the Welsh public 'stop and think' about their level of alcohol consumption.

Butterfly effect and computer simulation pave way for heart disease prediction

20 February 2015

Scientists from Cardiff and Swansea Universities are combining the principles of the butterfly effect and computer simulation to explore new ways of predicting and controlling the beginnings of heart disease.

University to become ‘epicentre for European Neuroimaging’

19 February 2015

Cardiff University has confirmed its plans to utilise advanced MR imaging technology within its new Brain Research Imaging Centre (CUBRIC) in a bid to make the centre one of the top brain imaging facilities in Europe.

Immune system “friendly fire” could be to blame for bowel cancer deaths

17 February 2015

New research suggests that patients recovering from bowel cancer surgery may be at a higher risk of relapse if their blood shows an immune response to a particular protein, called carcinoembryonic antigen (CEA).

Towards more targeted cancer vaccines

16 February 2015

Clearest picture yet of cancer’s immune response paves way for more accurate vaccines.

Care Minister visits CUBRIC

13 February 2015

Care Minister witnesses Cardiff University’s ground-breaking contribution to mental health research.

New test for acute kidney injury in development

13 February 2015

Could patients’ urine predict killer condition before it strikes?