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Nay Aung

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Clinical Senior Lecturer and Consultant Cardiologist

Queen Mary University of London

United Kingdom

Research Interests

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Professors in United Kingdom Professors in Medical Imaging Medical Imaging professors in United Kingdom

Recent Grants

Grant: Open

Understanding the implications of sarcopenia in heart failure using multi-modality imaging and genetics

Open Date: 2026-09-01

Close Date: 2029-09-01

Grant: Open

AI-enabled ECG to reduce demand for echocardiography and shorten diagnostic waiting lists

Open Date: 2026-02-01

Close Date: 2029-01-01

Grant: Open

Cardiac Implications of Rheumatoid Arthritis: Cardiovascular Magnetic Resonance (CMR) and Biomarker Investigation

Open Date: 2025-10-01

Close Date: 2028-10-01

Grant: Open

Deep phenotyping of patients with cardiogenic shock using advanced imaging and invasive haemodynamic

Open Date: 2024-10-01

Close Date: 2027-10-01

Grant: Open

Next Generation Tools For Genome-Centric Multimodal Data Integration In Personalised Cardiovascular Medicine (NextGen)

Open Date: 2024-01-01

Close Date: 2028-12-01

Articles (20)

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Christopher R. S. Banerji

The Alan Turing Institute

UNITED KINGDOM

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Nay Aung

Research Interests

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Recent Grants

Articles (20)

Heart failure with reduced ejection fraction: a systematic review of clinical practice guidelines and recommendations

Clinical Phenotypes in Hypertension: A Data-Driven Approach to Risk Stratification

Systematic Review of International Population Studies With Cardiac Magnetic Resonance and Genomics Research Data (“Imagenomics”)

Myocarditis in 2025: ESC guidelines advance the field and highlight the opportunity for evidence to follow

Genome-wide analysis of cardiac ventricular phenotypes reveals novel loci and therapeutic targets for heart failure

Deep learning to predict left ventricular hypertrophy from the electrocardiogram

Cardiac magnetic resonance characteristics and prognostic associations of hypertension-mediated left ventricular hypertrophy

The ‘myocardial work index’ does not measure myocardial work

143 Beyond cancer survival: elevated coronary artery disease risk after adjuvant fluoropyrimidine therapy

469 Progressive metabolic and transcriptional remodeling in CKD-associated HFpEF

559 NLRP3 signalling links diabetic metabolic stress to cardiac metabolic remodelling

A systematic review of multimodal machine learning models for heart failure classification and prognosis prediction

Advancing Heart Ageing in Ischemic Heart Disease: Insights from CMR and ECG Analysis

Association of body weight change with incident chronic kidney disease in patients with type 2 diabetes without proteinuria: a nationwide cohort study

Construction of a Bi-Atrial Statistical Shape Atlas for In-Silico Population Studies

Correction: A systematic review of multimodal machine learning models for heart failure classification and prognosis prediction

Dual inhibition of SGLT 1 and 2 by sotagliflozin alleviates intracellular sodium overload and improves cardiometabolic remodelling in uraemic cardiomyopathy

Fairness-Aware Data Augmentation for Cardiac MRI Using Text-Conditioned Diffusion Models

From prediction to phenotype: machine learning classification of heart failure and its relation to imaging derived left ventricular structure in the UKBiobank

Hypertrophic cardiomyopathy: a genome-wide association meta-analysis and polygenic risk score.

Collaborators (14)

Gautam Sen

Luis Lopes

Mohammed Y Khanji

Christopher R. S. Banerji

Marcello Ricardo Paulista Markus

Karim Lekadir

Patricia Munroe

Greg Slabaugh

Manh Thang Hoang

Steffen E Petersen

Alexandros Protonotarios

Caroline Roney

Anthony Mathur

Julia Ramirez

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