Doctor Nay Aung

Queen Mary University of London, London (United Kingdom of Great Britain & Northern Ireland)

Membership: EACVI Member HFA Member

Biography

Dr Nay Aung is a Consultant Cardiologist, Clinical Senior Lecturer and MRC Clinician Scientist specialising in heart failure and cardiac imaging at Barts Heart Centre, St Bartholomew’s Hospital, and Queen Mary University of London. He leads an imaging–genomics research group that pioneers AI-driven image phenotyping, population genetics and multi-omics approaches to advance diagnostic precision, risk stratification and the development of novel therapies for heart failure. He has authored over 120 peer-reviewed publications spanning AI applications in cardiac imaging, cardiovascular epidemiology and the genetic determinants of heart failure.

Contributor content

Presentation

Prevalence, cardiac phenotype and outcomes of TTR variants in the UK Biobank Population

Presentation

Concurrent left ventricular myocardial diffuse fibrosis and left atrial dysfunction strongly predicts incident heart failure and all-cause mortality

Presentation

AI in large trials.

Presentation

Automatic classification of CMR image sequences with convolutional neural networks

Presentation

Genetic architecture of left ventricular phenotypes derived from 17,000 CMR studies in the UK Biobank population imaging cohort

Presentation

Heritability and genotypic correlation of CMR-derived LV phenotypes in the UK Biobank population imaging study

$CMR and fractal analysis.$

Presentation

CMR and fractal analysis.

Presentation

Impact of cardiovascular risk factors on atlas-based left ventricular shape phenotypes

Presentation

Age attenuates the relationship between systolic blood pressure and left ventricular mass: evidence from the UK Biobank.

Presentation

The effect of statin therapy on ventricular structure and function as assessed by cardiovascular magnetic resonance (cmr): insights from the uk biobank.

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Doctor Nay Aung

Contributor content

Prevalence, cardiac phenotype and outcomes of TTR variants in the UK Biobank Population

Concurrent left ventricular myocardial diffuse fibrosis and left atrial dysfunction strongly predicts incident heart failure and all-cause mortality

AI in large trials.

Automatic classification of CMR image sequences with convolutional neural networks

Genetic architecture of left ventricular phenotypes derived from 17,000 CMR studies in the UK Biobank population imaging cohort

Heritability and genotypic correlation of CMR-derived LV phenotypes in the UK Biobank population imaging study

CMR and fractal analysis.

Impact of cardiovascular risk factors on atlas-based left ventricular shape phenotypes

Age attenuates the relationship between systolic blood pressure and left ventricular mass: evidence from the UK Biobank.

The effect of statin therapy on ventricular structure and function as assessed by cardiovascular magnetic resonance (cmr): insights from the uk biobank.

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