Theme 4 - Developing precision clinical management of HF
Heart Failure (HF) is a highly heterogeneous condition, yet current guideline-based management remains largely uniform, relying on parameters such as ejection fraction and NYHA class. This “one-size-fits-all” approach masks substantial inter-individual variation in treatment response, unlike precision strategies seen in fields such as oncology. Theme 4 aims to transform Heart Failure (HF) care by leveraging multimodal data, including advanced imaging, electronic health records, blood biomarkers, real-time digital markers from wearables, and AI, to identify predictive signatures and develop practical tools for precision management. By capturing patient diversity and resolving subgroup-specific trajectories, we seek to move beyond population-level averages and deliver tailored interventions that improve outcomes. We work closely with the other themes to integrate insights from imaging, multiomics, and clinical data, ensuring an interdisciplinary approach to precision cardiovascular care.
Calls
There are currently no active open calls
Funded Projects
Award 1
Lead PI: Dr Pier-Giorgio Masci
Co-Investigators: Dr Rafael Oexner, Dr Mario Falchi, Dr Maxim Freydin
Project Title: Uncovering the multi-omic signatures of cardiovascular biological ageing
Award 2
Lead PI: Dr Rafael Oexner
Co-Investigator: Dr Konstantinos Theofilatos
Project Title: Cardiovascular Disease Risk Prediction and Biological Ageing in the UK Population
Awarded Studentship
EPSRC Centre for Doctoral Training in Data-Driven Health (DRIVE-Health) at King’s College London and the King’s BHF Centre - One 4-year studentships have been awarded under this collaboration with a start date of 1 October 2025:
Studentship 1: Alexander Anderson
Supervisors: Dr Kevin O’Gallagher, Prof Alistair Young
Project Title: HFpEF: AI imaging analysis of echocardiographic data to allow development of a fully integrated prediction model for heart failure with preserved ejection fraction (HFpEF) using both echo and clinical data
Calls and awards
Working on UK Biobank call for projects
Theme Leads
ECR Co-Leads
Theme 4 Affiliated Principal Investigators
-
Professor of Medical Bioinformatics
-
Clinical Senior Lecturer / NIHR ACAF Fellow
-
Professor
-
Clinical Senior Lecturer
-
Reader
-
Professor of Cardiovascular Data Analytics and Artificial Intelligence
Network