Past BHF Turing Cardiovascular Data Science Awards

Our partnership with the Alan Turing Institute funds collaborative research between cardiovascular researchers and data scientists.

Awards made in the second round (2018/19)

BHF awarded £307,052 against a total of £511,754 granted across six awards, each of up to 2 years duration.

• Dr Fotios Drenos, Brunel University, SP/19/5/34806
  Integration of time and genetic instrument dependent causal methods for the construction of a metabolomics network for the assessment of drug compounds: £31,090
  
  
• Professor John Dennis, University of Exeter, SP/19/6/34809
  Precision medicine in type 2 diabetes: developing and testing a decision support tool for primary care to optimise the selection of glucose-lowering therapy: £65,473
  
  
• Professor Umberto Benedetto, University of Bristol, SP/19/7/34810
  Machine learning for risk prediction in adult cardiac surgery in United Kingdom: £62,473
  
  
• Dr Marlous Hall, University of Leeds, SP/19/8/34811
  Post myocardial infarction disease trajectories: process mining of 145 million hospitalised events: £57,582
  
  
• Professor Joanna, Wardlaw, University of Edinburgh, SP/19/9/34812
  Uncovering retinal microvascular predictors of compromised brain haemodynamics in small vessel: disease: £66,000
  
  
• Professor Maciej Tomaszewski, University of Manchester, SP/19/10/34813
  Molecular causal networks of hypertension – a machine learning approach: £24,434

Awards made in the first round (2017/18)

BHF awarded £327,389 against a total of £545,648 granted across six awards, of up to 2 years duration.

• Professor Nick Mills, University of Edinburgh, SP/18/2/33800.
  Machine learning in myocardial infarction to improve risk prediction and inform treatment decisions: £80,529.
  
  
• Professor Emanuele Di Angelantonio, University of Cambridge, SP/18/3/33801.
  Using machine learning for personalised CVD risk management: £54,848.
  
  
• Dr Aiden Doherty, University of Oxford, SP/18/4/33803.
  Unsupervised learning of physical activity markers and their association with cardiovascular disease: £68,524.
  
  
• Dr Adam Butterworth, University of Cambridge, SP/18/5/33804.
  Flexible fine-mapping of multiple intermediate traits at cardiovascular disease loci: £26,481.
  
  
• Professor Steven Niederer, King’s College London, SP/18/6/33805.
  Quantifying functional co-variation in calcium handling proteins in cardiac myocytes: £49,310.
  
  
• Dr William Astle, University of Cambridge, SP/18/7/33806.
  Looking for cardiovascular risk factors in blood smear images: £47,362.