Cardiovascular risk factor identification in general population: Data Sciences approach

Supervisors:
Dr Bhautesh Jani
Prof Naveed Sattar
Dr Claire Niedzwiedz
Prof Frances Mair

Project summary:
Heart conditions are one of the biggest health problems and they are disproportionately common in disadvantaged groups. The onset of risk factors such as high blood pressure and high cholesterol is often at an earlier age in vulnerable groups and left untreated. By applying data sciences to three population datasets, a risk prediction model will be developed and validated for unrecognized high blood pressure and high cholesterol levels. This in turn, can lead to targeted case finding, early identification and risk mitigation of cardiovascular risk, improved healthcare outcomes, and reduction in health inequalities.

This MRC programme is joint between the Universities of Edinburgh and Glasgow. You will be registered at the host institution of the primary supervisor detailed in your project selection.

All applications should be made via the University of Edinburgh, irrespective of project location via the link below.

http://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&id=919

Please note, you must apply to one of the projects and you must contact the primary supervisor prior to making your application. Additional information on the application process is available from the link above.

For more information about Precision Medicine and what is required when submitting an application, please visit:
https://www.gla.ac.uk/colleges/mvls/graduateschool/mrcdtpprecisionmedicine/