Area of research
Artificial Intelligence · Infectious Diseases
Research interest
Research interests include Machine Learning in Healthcare, COVID-19 Clinical Research Studies, Chronic Disease Management Strategies, and COVID-19 and healthcare impacts.
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
The Digital Health Competencies in Medical Education Framework
Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes
Data Interoperability and Harmonization in Cardiovascular Genomic and Precision Medicine
Prevalence and demographics of 331 rare diseases and associated COVID-19-related mortality among 58 million individuals: a nationwide retrospective observational study
Lamotrigine and Cardiac Arrhythmias
Medical history predicts phenome-wide disease onset and enables the rapid response to emerging health threats
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods: a Korean translation
Burden of cardiovascular diseases in England (2020–24): a national cohort using electronic health records data
Ethnic disparities in COVID-19 mortality and cardiovascular disease in England and Wales between 2020-2022
P34 Longitudinal associations between housing energy efficiency measures, asthma and chronic obstructive pulmonary disease (COPD) risk in a large, linked housing and health dataset in Wales
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
Proteomic signatures improve risk prediction for common and rare diseases
Undervaccination and severe COVID-19 outcomes: meta-analysis of national cohort studies in England, Northern Ireland, Scotland, and Wales
Genome-wide association analysis provides insights into the molecular etiology of dilated cardiomyopathy
Cohort study of cardiovascular safety of different COVID-19 vaccination doses among 46 million adults in England
Incidence of diabetes after SARS-CoV-2 infection in England and the implications of COVID-19 vaccination: a retrospective cohort study of 16 million people
Creating a next-generation phenotype library: the health data research UK Phenotype Library
Risks of major arterial and venous thrombotic diseases after hospitalisation for influenza, pneumonia, and COVID-19: A population-wide cohort in 2.6 million people in Wales
Vaccinations, cardiovascular drugs, hospitalization, and mortality in COVID-19 and Long COVID
Cohort studies on 71 outcomes among people with atopic eczema in UK primary care data
Estimating disease burden using national linked electronic health records: a study using an English population-based cohort.
Changes in sick notes associated with COVID-19 from 2020 to 2022: a cohort study in 24 million primary care patients in OpenSAFELY-TPP
Disagreement concerning atopic dermatitis subtypes between an English prospective cohort (ALSPAC) and linked electronic health records
Cohort study of cardiovascular safety of different COVID-19 vaccination doses among 46 million English adults
Are ethnic disparities in COVID-19 severe outcomes over? Analysis of 5.3 million individuals in England and Wales from 2020-2022
Evolving the HDRUK Phenotype Library: Phenotype Creation and Editing
The impact of the COVID-19 pandemic on cardiovascular disease prevention and management
Identifying subtypes of heart failure from three electronic health record sources with machine learning: an external, prognostic, and genetic validation study
Healthcare use attributable to COVID-19: a propensity-matched national electronic health records cohort study of 249,390 people in Wales, UK