Navigating a new era in cardiovascular disease epidemiology: big data, artificial intelligence and the imperative of disability inclusion

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Cardiovascular disease (CVD) is the leading cause of premature mortality and a major contributor to disability-adjusted life years lost globally.
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Innovations in CVD epidemiology include multi-omic data integration, machine learning applications, and population-scale linked-data infrastructures.
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People with disability (PwD) represent 16% of the global population but are under-represented in clinical trials and datasets, leading to health disparities.
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PwD experience a disproportionately high burden of CVD, with heart disease and stroke prevalence three to four times that of non-disabled individuals.
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The article proposes a framework for disability-inclusive big-data and AI-enabled CVD research to address the evidence gap affecting PwD.

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