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Search results (26)

« Back to Publications

Development and validation of an ECG-based 10-year risk prediction model for Major Adverse Cardiac and Cerebrovascular Events in UK Biobank

Sturge A. et al, (2026)

Deep learning to predict left ventricular hypertrophy from the electrocardiogram.

Naderi H. et al, (2026), Europace, 28

Generation of a Free-Living Ground-Truth Validation Dataset for Wearable Measures of Physical Activity, Sedentary Behavior, Sleep, and Heart Rate in Adults (OxWEARS): Protocol for a Cross-Sectional Study.

Maylor BD. et al, (2025), JMIR Res Protoc, 14

Daily steps are a predictor of, but perhaps not a risk factor for Parkinson's disease: findings from the UK Biobank.

Acquah A. et al, (2025), NPJ Parkinsons Dis, 11

Heart Rate Profiles During Exercise and Incident Parkinson's Disease.

van Duijvenboden S. et al, (2025), Ann Neurol, 98, 1004 - 1013

Relationships of Circulating Plasma Metabolites With the QT Interval in a Large Population Cohort.

Young WJ. et al, (2025), Circ Genom Precis Med, 18

Leucocyte telomere length and conduction system ageing.

van Duijvenboden S. et al, (2025), Heart, 111, 314 - 320

Fine mapping of candidate effector genes for heart rate.

Ramírez J. et al, (2024), Hum Genet, 143, 1207 - 1221

Daily steps are a predictor of, but perhaps not a modifiable risk factor for Parkinson’s Disease: findings from the UK Biobank

Acquah A. et al, (2024)

Prognostic Significance of Different Ventricular Ectopic Burdens During Submaximal Exercise in Asymptomatic UK Biobank Subjects.

van Duijvenboden S. et al, (2023), Circulation, 148, 1932 - 1944

Predicting left ventricular hypertrophy from the 12-lead electrocardiogram in the UK Biobank imaging study using machine learning.

Naderi H. et al, (2023), Eur Heart J Digit Health, 4, 316 - 324

Genome-Wide Analysis of Left Ventricular Maximum Wall Thickness in the UK Biobank Cohort Reveals a Shared Genetic Background With Hypertrophic Cardiomyopathy.

Aung N. et al, (2023), Circ Genom Precis Med, 16

Prediction of Coronary Artery Disease and Major Adverse Cardiovascular Events Using Clinical and Genetic Risk Scores for Cardiovascular Risk Factors.

Ramírez J. et al, (2022), Circ Genom Precis Med, 15

ECG T-Wave Morphologic Variations Predict Ventricular Arrhythmic Risk in Low- and Moderate-Risk Populations.

Ramírez J. et al, (2022), J Am Heart Assoc, 11

Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways.

Young WJ. et al, (2022), Nat Commun, 13

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