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Dexter Canoy

University of Oxford

United Kingdom

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Research Interests

Epidemiology

30%

Cardiology

40%

Cardiovascular Risk

70%

Atherosclerosis

30%

Cohort Study

30%

Comparative Effectiveness Research

20%

Anti-aging Research

20%

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Articles16

Targeted-BEHRT: Deep Learning for Observational Causal Inference on Longitudinal Electronic Health Records

Article Link

Year:

2024

Sex-Specific Effects of Blood Pressure Lowering Pharmacotherapy for the Prevention of Cardiovascular Disease: An Individual Participant-Level Data Meta-Analysis

Article Link

Year:

2023

Systolic blood pressure, chronic obstructive pulmonary disease and cardiovascular risk.

Article Link

Year:

2023

Systolic Blood Pressure and Cardiovascular Risk in Patients With Diabetes: A Prospective Cohort Study

Article Link

Year:

2023

Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records.

Article Link

Year:

2023

Sodium-based paracetamol: impact on blood pressure, cardiovascular events, and all-cause mortality

Article Link

Year:

2023

Blood pressure and risk of venous thromboembolism: a cohort analysis of 5.5 million UK adults and Mendelian randomization studies

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Year:

2023

Spousal concordance in adverse childhood experiences and the association with depressive symptoms in middle-aged and older adults

Article Link

Year:

2023

Stratification of diabetes in the context of comorbidities, using representation learning and topological data analysis.

Article Link

Year:

2023

Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records

Article Link

Year:

2023

Editorial: Renal function and related biomarkers in cardiovascular risk assessment and prevention.

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Year:

2022

Effects of the COVID-19 pandemic on secondary care for cardiovascular disease in the UK: an electronic health record analysis across three countries.

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Year:

2022

Using national electronic health records for pandemic preparedness: validation of a parsimonious model for predicting excess deaths among those with COVID-19-a data-driven retrospective cohort study.

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Year:

2022

Correction: Elevated blood pressure, antihypertensive medications and bone health in the population: revisiting old hypotheses and exploring future research directions.

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Year:

2022

Validation of risk prediction models applied to longitudinal electronic health record data for the prediction of major cardiovascular events in the presence of data shifts.

Article Link

Year:

2022

Antihypertensive drug effects on long-term blood pressure: an individual-level data meta-analysis of randomised clinical trials

Article Link

Year:

2022

Collaborators13

Mohammad Mamouei

University of Oxford

UNITED KINGDOM

Abbas Dehghan

Reader in cardiometabolic diseases

Imperial College London

UNITED KINGDOM

Davies Adeloye

University of Edinburgh

UNITED KINGDOM

Eva Morris

Professor of Health Data Epidemiology

University of Oxford

UNITED KINGDOM

Milad Nazarzadeh

University of Oxford

UNITED KINGDOM

Christopher M. Reid

Curtin University

AUSTRALIA

Eva Gerdts

University of Bergen

NORWAY

Ajay Gupta

Senior Clinical Lecturer

Queen Mary University of London

UNITED KINGDOM

Mary Joan Macleod

University of Aberdeen

UNITED KINGDOM

Zeinab Bidel

University of Oxford

UNITED KINGDOM

Tamsin Morris

Head of Evidence

AstraZeneca UK Limited

UNITED KINGDOM

Kazem Rahimi

University of Oxford

UNITED KINGDOM

Alvina Lai

University College London

UNITED KINGDOM

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