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Mohsen Mazidi

Genetic epidemiologist

Mohsen works with the China Kadoorie Biobank to investigate translational applications of human multi-OMICs information to elucidate the aetiology of disease and help guide drug development in areas of non-communicable diseases (NCDs) by applying human genetics (eg through Mendelian randomisation) together with machine learning and advanced epidemiological techniques (personalised medicine).  

He undertook a BSc and MSc degree in Nutrition Science. During Mohsen's PhD in Nutrition Epidemiology, he examined large national prospective studies and nutritional records within the context of NCDs and related features at the Academy of Science.

Visit website: https://www.ctsu.ox.ac.uk/team/mohsen-mazidi

 MoMaz20

See also: Academia Oxford Population Health - One of the largest medical science division in the University of Oxford

Details last updated 28-Nov-2024

Mohsen Mazidi News

Blood proteins help predict heart attack risk better than traditional methods

Blood proteins help predict heart attack risk better than traditional methods

Oxford Population Health - 22-Nov-2024

This suggests better prevention with genetics and advanced models