DATA 
SCIENCE
FOR
HEALTH
EQUITY

Welcoming July means that we're officially in the second half of 2024. At DSxHE HQ we're taking stock of everything that we achieved in...

by Lizzie Remfry Whitehead Full Report: Equity in Medical Devices: An Independent Review The Whitehead review, released in March 2024,...

Catch up on the excellent talk from Dr Divya Shanmugam for the Statistical Methods for Health Equity webinar series. Dr Divya Shanmugam, recently completed her PhD at the Massachusetts Institute of Technology, working with Prof. John Guttag on best practices for developing and deploying machine learning models in the presence of unreliable data. Divya shared her fantastic work on how to characterize and mitigate the impact of imperfect data on machine learning models deployed