Skip to content Improving Cardiovascular Health Through Intelligent Systems

Our research is focused on using machine learning to discover mechanisms that underpin common cardiovascular diseases by integrating data from human imaging, genetics and environmental risk factors. This work includes developing algorithms for predicting human survival from cardiac motion and understanding how complex traits influence the risk of heart failure. We also collaborate with industry to accelerate progress in drug discovery using automated genotype-phenotype modelling. 

Led by Professor Declan O’Regan.

Our research