"My research on chronic disease draws on the UK Biobank resource, such as in using genetic data and imaging-based phenotyping of body composition to improve causal inference about associations between exposure and disease outcomes."
On 9 December 2018. The George Institute for Global Health participated in the 2018 Shenzhen Sanming Project Obstetrics Summit, together with experts from academia, health services and industry, to discuss paths for innovation and development in the field of obstetrics.
Women in China have greater awareness, treatment, and control of hypertension than their male counterparts, new research from The George Institute for Global Health at the University of Oxford has found.
Machine learning – a field of artificial intelligence that uses statistical techniques to enable computer systems to ‘learn’ from data – can be used to analyse electronic health records and predict the risk of emergency hospital admissions, a new study from The George Institute for Global Health at the University of Oxford has found.