Area of research
Artificial Intelligence · Infectious Diseases
Research interest
Research interests include Machine Learning in Healthcare, COVID-19 Clinical Research Studies, Health Systems, Economic Evaluations, Quality of Life, and Cardiac electrophysiology and arrhythmias.
Advancing Real-World Evidence Through a Federated Health Data Network (EHDEN): Descriptive Study
Health-Analytics Data to Evidence Suite (HADES): Open-Source Software for Observational Research
European Health Data & Evidence Network—learnings from building out a standardized international health data network
Contextualising adverse events of special interest to characterise the baseline incidence rates in 24 million patients with COVID-19 across 26 databases: a multinational retrospective cohort study
Characteristics and outcomes of COVID-19 patients with COPD from the United States, South Korea, and Europe
Comparative risk of thrombosis with thrombocytopenia syndrome or thromboembolic events associated with different covid-19 vaccines: international network cohort study from five European countries and the US
Seek COVER: using a disease proxy to rapidly develop and validate a personalized risk calculator for COVID-19 outcomes in an international network
Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS
Characterising the background incidence rates of adverse events of special interest for covid-19 vaccines in eight countries: multinational network cohort study
Use of repurposed and adjuvant drugs in hospital patients with covid-19: multinational network cohort study
COVID-19 in patients with autoimmune diseases: characteristics and outcomes in a multinational network of cohorts across three countries
A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data
Thirty-Day Outcomes of Children and Adolescents With COVID-19: An International Experience
Implementation of the COVID-19 Vulnerability Index Across an International Network of Health Care Data Sets: Collaborative External Validation Study
Characteristics and outcomes of 627 044 COVID-19 patients living with and without obesity in the United States, Spain, and the United Kingdom
Characteristics and outcomes of patients with COVID-19 with and without prevalent hypertension: a multinational cohort study
Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study
Renin–angiotensin system blockers and susceptibility to COVID-19: an international, open science, cohort analysis
Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study
Multinational cohort study of mortality in patients with asthma and severe asthma
Risk of depression, suicide and psychosis with hydroxychloroquine treatment for rheumatoid arthritis: a multinational network cohort study
Incidence, risk factors and re‐exacerbation rate of severe asthma exacerbations in a multinational, multidatabase pediatric cohort study
Methotrexate and relative risk of dementia amongst patients with rheumatoid arthritis: a multi-national multi-database case-control study
Comparative cardiovascular safety of strontium ranelate and bisphosphonates: a multi-database study in 5 EU countries by the EU-ADR Alliance
Non-alcoholic fatty liver disease and risk of incident acute myocardial infarction and stroke: findings from matched cohort study of 18 million European adults
Impact of risk minimisation measures on the use of strontium ranelate in Europe: a multi-national cohort study in 5 EU countries by the EU-ADR Alliance
Real-world data reveal a diagnostic gap in non-alcoholic fatty liver disease
Dementia prevalence and incidence in a federation of European Electronic Health Record databases: The European Medical Informatics Framework resource
Use of azithromycin and risk of ventricular arrhythmia
Observational Health Data Sciences and Informatics (OHDSI): Opportunities for Observational Researchers