New call for funding open 6th January 2025 – 31st January 2025 The BHF Data Science Centre Kidney Catalyst has launched a new call for funding, in partnership with Kidney Research UK. This opportunity offers researchers up to… Read more

What is the ‘Stroke Data Science Catalyst’? The Stroke Data Science Catalyst (a five-year partnership between the BHF Data Science Centre, HDR UK and the Stroke Association) will enable approved research teams… Read more

What is the ‘Diabetes Data Science Catalyst’? The Diabetes Data Science Catalyst will support research of relevance to both diabetes and cardiovascular diseases through the use of health data science and advanced analytics such as Artificial Intelligence. Professor… 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