About
Atherosclerotic cardiovascular disease (CVD) and dementia represent two of the most significant global health challenges, intricately linked by their complex, multifactorial natures and profound impacts on mortality and disability worldwide. The proposed research aims to bridge the gaps in current understanding and management of both CVD and dementia by leveraging the predictive power of genetic variations and integrating functional genomic annotations as well as including CVD risk factors, genetics, circulating biomarkers, cognitive data , hearing and vision markers, and imaging data for early prediction and differentiation of disease subtypes. This approach enables us to develop separate prediction models for each condition while also leveraging the combined data to understand how cardiovascular and brain health interconnect. Our objective is to offer groundbreaking pathways for early identification and tailored intervention strategies that acknowledge the complex interplay between the heart and the brain. The project duration is 36 months. The expected value of this research lies in its potential to significantly advance the early detection and personalized treatment of both CVD and dementia. By developing more accurate and mechanistic-based predictive models, this work aims to identify individuals at high risk much earlier in the disease process. This early identification can lead to the implementation of preventative measures and tailored interventions, potentially reducing the incidence and severity of these conditions.