Narinder is a Senior Clinical Scientist in Southeast London with a PhD in Cardiovascular Medicine. She works at the intersection of cardiovascular disease and artificial intelligence, investigating the causes of CVD and applying advanced AI methods to identify patient lifestyle and multimorbidity profiles. Her research uses survival-based models and large-scale electronic health records from NHS Scotland Greater Glasgow & Clyde and Hong Kong to uncover prognostic factors in type 2 diabetes. Her most recent work focuses on cardiometabolic kidney disease in deprived areas, addressing health inequalities through data-driven precision medicine. Narinder is also the founder of Wholeheartedly, a startup developing explainable AI tools for early detection and management of heart failure and cardiovascular risk.
Predicting mortality of type-2 diabetes mellitus by applying machine learning to electronic medical records in the west of scotland and hong kong
Event: ESC Congress 2024
Topic: Artificial Intelligence
Session: Progress and challenges in artificial intelligence for cardiovascular risk assessment and diagnosis
