What is UK CliC? The UK Clinical Cohorts (UK CliC) Trusted Research Environment (TRE) is a secure platform that allows researchers to access anonymised linked cohort data for cardiovascular and metabolic research. This helps research teams to streamline linking their… Read more

The UK Clinical Cohorts (UK CliC) Trusted Research Environment (TRE) provides a secure platform with strict governance for the analysis of UK cardiovascular cohort data. Developed in partnership with Swansea University’s SAIL Databank, the UK CliC… Read more

The UK Clinical Cohorts (UK CliC) Trusted Research Environment (TRE) aims to provide clinical cohort owners with a TRE where they can collect, deposit, link and share their cohort data. The BHF Data Science Centre will coordinate the linkage process,… Read more

The UK Clinical Cohorts (UK CliC) Trusted Research Environment (TRE) is a secure system that helps researchers answer important questions about heart and circulatory diseases. It brings together information from long-term health studies and NHS records, so scientists can learn… Read more

Unlocking imaging data’s potential for cardiovascular research The Scottish Medical Imaging (SMI) dataset is a pioneering national resource, made up of over 57 million de-identified imaging examinations collected across Scotland between 2010 and 2018. Managed by Public Health… Read more

Theme Lead: Professor Samira Bell  Chronic kidney disease (CKD) affects around one in ten people in the world, and can increase the risk of also developing cardiovascular disease. Because these conditions are closely linked, harnessing insights… Read more

Theme Lead: Professor William Whiteley Stroke strikes every five minutes, and for over 1.2 million stroke survivors living in the UK, many questions remain about its causes, prevention, treatment, and long-term effects. In partnership with the… Read more

Theme Lead: Professor Ewan Pearson  There are over 4.3 million people living with diabetes in the UK, and cardiovascular disease remains the leading cause of death among this population. Despite advances in treatment, many people with diabetes still face higher… Read more

Theme lead: Professor Reecha Sofat Linking data from large, ‘omics-rich’ clinical cohorts with routine health records could transform our understanding of disease causes, progression, and treatment. Cohort studies provide powerful insights into cardiovascular and metabolic diseases,… Read more

Former theme lead: Professor Matt Sydes Clinical trials are the gold standard for testing new treatments, but they can be expensive, slow, and resource-intensive. Right now, most UK trials don’t fully tap into the wealth of NHS data that… Read more

Theme Lead: Professor Spiros Denaxas Large-scale cardiovascular research relies on reusable and standardised disease definitions that can be applied across datasets to ensure consistency and reproducibility. By developing, validating, and sharing phenotyping algorithms, we enable researchers to harness routine… Read more

Theme Lead: Professor Tim Chico Advances in smartphone and wearable technology provide an unprecedented opportunity to improve our understanding of cardiovascular health. By securely linking wearable data with electronic health records, we’re working to build the infrastructure, collaborations, and… Read more

Theme Lead: Professor Michelle Williams Cardiovascular imaging provides detailed insights into heart and circulatory diseases, but unlocking its full potential requires linking imaging data with other healthcare datasets and applying advanced AI and machine learning techniques. These approaches present… Read more

Theme Lead: Professor Angela Wood By enabling researchers to securely analyse de-identified, routinely collected health data, we help generate insights that drive better healthcare decisions, inform policy, and ensure research is inclusive and represents the whole population, ultimately improving… Read more

Programme Lead: Professor Angela Wood The consortium is open to all researchers who sign up to our principles and ways of working. For enquiries or to join the consortium, contact us at bhfdsc@hdruk.ac.uk. Update New… Read more