This project aims to estimate risks for a range of health conditions based on environmental factors, which can be useful for policy makers even in areas where local health data might be limited.
Kazem Rahimi is an Associate Professor of Cardiovascular Medicine at the University of Oxford. He is a cardiologist, epidemiologist and health services researcher with interest in prevention and management of chronic diseases. He has led the design, coordination and reporting of multi-centre randomized trials, collaborative meta-analyses and large-scale observational studies that have investigated the burden, causes and management of cardiovascular diseases.
At the Nuffield Department of Women's & Reproductive Health, Kazem leads a team of researchers working towards identification of practical and affordable solutions that address the unmet healthcare needs of vulnerable or disadvantaged populations globally. Kazem is the Director of the Oxford Martin programme on Deep Medicine which is using innovative machine learning techniques to better understand interactions of environment, risk factors, diseases and treatments. He also leads the Blood Pressure Lowering Treatment Trialists’ Collaboration (BPLTTC), which is an international collaboration of all the major trials of blood pressure lowering drugs.