Area of research
Cardiology and Cardiovascular Medicine · Epidemiology
Research interest
Research interests include Trypanosoma species research and implications, Cardiomyopathy and Myosin Studies, ECG Monitoring and Analysis, and Cardiovascular Function and Risk Factors.
Artificial Intelligence–Enabled Prediction of Heart Failure Risk From Single-Lead Electrocardiograms
Development and multinational validation of an ensemble deep learning algorithm for detecting and predicting structural heart disease using noisy single-lead electrocardiograms
Candidate Interventions for Integrating Hypertension and Cardiovascular-Kidney-Metabolic Care in Primary Health Settings: HEARTS 2.0 Phase 1
Recent-onset atrial fibrillation: challenges and opportunities
Prediction of Atrial Fibrillation From the ECG in the Community Using Deep Learning: A Multinational Study
Decoding 2.3 million ECGs: interpretable deep learning for advancing cardiovascular diagnosis and mortality risk stratification
The Burden of Chagas Disease in the Contemporary World: The RAISE Study
Prevalence of Chagas disease among Latin American immigrants in non-endemic countries: an updated systematic review and meta-analysis
Toward a Universal Definition of Etiologies in Heart Failure: Categorizing Causes and Advancing Registry Science
Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images
Cardiovascular Statistics – Brazil 2023
Association Between Electrocardiographic Age and Cardiovascular Events in Community Settings: The Framingham Heart Study
ISE/ISHNE Expert Consensus Statement on ECG Diagnosis of Left Ventricular Hypertrophy: The Change of the Paradigm. The joint paper of the International Society of Electrocardiology and the International Society for Holter Monitoring and Noninvasive Electrocardiology
Genetic architecture of spatial electrical biomarkers for cardiac arrhythmia and relationship with cardiovascular disease
Association of lifestyle with deep learning predicted electrocardiographic age
Estatística Cardiovascular – Brasil 2021
Genetic analyses of the electrocardiographic QT interval and its components identify additional loci and pathways
Cardiovascular Risk Factors and Clinical Outcomes among Patients Hospitalized with COVID-19: Findings from the World Heart Federation COVID-19 Study
Electrocardiographic findings and prognostic values in patients hospitalised with COVID-19 in the World Heart Federation Global Study
Genome-wide association study for Chagas Cardiomyopathy identify a new risk locus on chromosome 18 associated with an immune-related protein and transcriptional signature
Cardiovascular Health and Atrial Fibrillation or Flutter: A Cross-Sectional Study from ELSA-Brasil
Correction: Cardiovascular Risk Factors and Clinical Outcomes among Patients Hospitalized with COVID-19: Findings from the World Heart Federation COVID-19 Study
Knowledge Discovery with Electrocardiography Using Interpretable Deep Neural Networks
World Heart Federation Roadmap on Atrial Fibrillation – A 2020 Update
Prevalence, management and impact of chronic obstructive pulmonary disease in atrial fibrillation: a systematic review and meta-analysis of 4,200,000 patients
2021 ISHNE/HRS/EHRA/APHRS Expert Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia-Pacific Heart Rhythm Society
2021 ISHNE/ HRS/ EHRA/ APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals
2021 ISHNE/HRS/EHRA/APHRS collaborative statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals
Left ventricular systolic dysfunction predicted by artificial intelligence using the electrocardiogram in Chagas disease patients–The SaMi-Trop cohort
The World Heart Federation Global Study on COVID-19 and Cardiovascular Disease