Aaron will be presenting on a diabetes outcomes model using a multi-ethnic, real-world-data cohort of newly diagnosed Type II diabetics. The study used registry data on 150,000 newly diagnosed diabetes patients between 2005 and 2016 with up to 13 years follow-up. The resulting diabetes outcomes model for the US (DOMUS) model integrates separate, but inter-dependent, risk equations to predict a wide range of cardiovascular and non-cardiovascular health events and biomarkers. The model accounts for individual demographics (including race), neighbourhood deprivation, age and a wide range of dynamic clinical and treatment factors. Aaron will discuss the development, challenges, and potential of the DOMUS model and its implications for decisions related to diabetes care and prevention.