The research project titled “Multiomic characterisation of cardiovascular and cerebrovascular diseases” focuses on advancing the diagnosis, prognosis, and treatment of coronary heart disease (CHD), stroke, and their frequent coexistence. These conditions are major global health burdens, characterised by heterogeneity, complex mechanisms, and high risks of recurrence, disability, and mortality. The project aims to enhance understanding of the shared and distinct mechanisms of CHD and stroke, identify heterogeneity among patient subgroups, distinguish differences in disease trajectories between younger and older populations, and discover potential multiomic biomarkers for early detection, improved risk stratification, and better patient outcomes through the integration of omics, imaging, and clinical data.
Cardiovascular and cerebrovascular diseases are major global causes of death and disability, with frequent coexistence that reflects shared mechanisms but remains poorly integrated in research and management. In our previous studies, we analysed diverse biomarkers (clinical, immunological, genetic, metabolic) and identified differentially expressed markers that revealed disease heterogeneity and prognosis. Building on this foundation, we will integrate multiomic approaches with advanced AI methods to study CHD and stroke in a systematic and dynamic manner. Combining genomics, proteomics, metabolomics, imaging and clinical data, AI-enabled analyses will extend beyond traditional biomarker discovery to uncover latent disease signatures, characterise subgroups and trajectories, and reveal novel representation patterns underlying comorbidity. Leveraging the scale and diversity of UK Biobank-including omics, imaging, clinical investigations and long-term outcomes-this project will identify clinically relevant biomarkers and pathways, improve risk prediction and stratification, and advance precision medicine for cardiovascular-cerebrovascular disease.