The Computational Cardiology, AI and Data Science for Health Lab pioneers translational innovation at the intersection of artificial intelligence, computational methods, and clinical medicine. We develop and validate data-driven solutions that transform healthcare delivery across multiple domains.
Our research integrates machine learning, biomedical signal processing, predictive modeling, digital health technologies, and computational physiology to address complex clinical challenges. While cardiovascular and autonomic health represent our core expertise—spanning arrhythmia detection, autonomic function assessment, electrocardiographic imaging, and risk stratification—our methodological framework extends to broader health applications.
Key innovation areas include AI-powered diagnostic algorithms, digital twins for personalized medicine, remote patient monitoring systems, wearable biosensors, clinical decision support tools, and precision risk prediction models. We develop patient-specific digital twins that simulate cardiovascular and autonomic responses, enabling personalized treatment optimization. Our autonomic health research encompasses reflex syncope, cardiovascular regulation, neuromodulation, and autonomic dysfunction.
We are committed to ethical and responsible AI use, addressing algorithmic bias, fairness, and transparency in clinical decision-making. Human-computer interface design and user experience assessment are integral to our translational approach, ensuring clinical utility and adoption.
We combine multidisciplinary expertise from clinical medicine, physiology, data science, biomedical engineering, computer science, and human factors. Through rigorous validation, real-world implementation, and collaboration with clinical, engineering, and industry partners, we advance data-driven healthcare innovation that enables personalized medicine, proactive disease management, and improved outcomes across diverse patient populations.
Projects
- CURE-AF – Clinical utilization and evidence generation for real-time ECGi in atrial fibrillation (End: 31-12-2025, EIT Health Flagship Innovation to Market, ITN-9419). Clinical validation of electrocardiographic imaging technology for real-time atrial fibrillation mapping to guide ablation procedures. PI (PT): Prof. Sérgio Laranjo.
- HeartbAIt – Remote assessment of vital signs for arrhythmia screening (End: 31-12-2025, HosmartAI H2020 Pilot Project). AI-powered continuous cardiac monitoring system using edge computing for early arrhythmia detection in hospital and home settings. Pilot PI (NMS): Prof. Sérgio Laranjo.
- SAVE-COR – Stratification of atrial and ventricular arrhythmias based on electrocardiographic imaging (End: 31-12-2024, EIT Health Grant 220385). Integration of advanced ECG imaging with machine learning algorithms for improved arrhythmia risk stratification. PI (PT): Prof. Sérgio Laranjo.
- The role of the intrinsic cardiac nervous system in atrial fibrillation pathophysiology (End: 31-12-2024, FCT Doctoral Grant FCT/CRM:0008532/2020.05309). Investigation of autonomic nervous system mechanisms underlying atrial fibrillation using computational modeling and experimental approaches. PhD candidate: Mónica Ferreira. Supervisors: Prof. Sérgio Laranjo, Prof. Isabel Rocha, Prof. Mário Oliveira.
Publications
- Laranjo S, Fonseca H, Felix AC, Gourine A, Pinto F, Oliveira M, Rocha I. Haemodynamic Patterns in Reflex Syncope: Insights from Head-Up Tilt Tests in Adults and Children. J Clin Med. 2025;14(6):1874. doi: 10.3390/jcm14061874
- Ferreira M, Geraldes V, Felix AC, Oliveira M, Laranjo S, Rocha I. Advancing Atrial Fibrillation Research: The Role of Animal Models, Emerging Technologies and Translational Challenges. Biomedicines. 2025;13(2):307. doi: 10.3390/biomedicines13020307
- Cardoso I, Nunes S, Brás P, Viegas JM, Marques Antunes M, Ferreira A, Almeida I, Custódio I, Trigo C, Laranjo S, Graça R, Cruz Ferreira R, Oliveira M, Aguiar Rosa S, Antunes D. The contribution of genetics to the understanding and management of cardiomyopathies: Part 1. Rev Port Cardiol. 2025;44(4):245-254. doi: 10.1016/j.repc.2024.03.007
- Silva Cunha P, Laranjo S, Monteiro S, Almeida IG, Mendonça T, Fontes I, Ferreira RC, Almeida AG, Didenko M, Oliveira MM. Left Atrial Wall Thickness Estimated by Cardiac CT: Implications for Catheter Ablation of Atrial Fibrillation. J Clin Med. 2024;13(18):5379. doi: 10.3390/jcm13185379
- Silva Cunha P, Laranjo S, Monteiro S, Portugal G, Guerra C, Rocha AC, Pereira M, Ferreira RC, Heijman J, Oliveira MM. The impact of atrial voltage and conduction velocity phenotypes on atrial fibrillation recurrence. Front Cardiovasc Med. 2024;11:1427841. doi: 10.3389/fcvm.2024.1427841
Ferreira M, Cunha PS, Felix AC, Fonseca H, Oliveira M, Laranjo S, Rocha I. AFTER-CA: Autonomic Function Transformation and Evaluation Following Catheter Ablation in Atrial Fibrillation. J Clin Med. 2024;13(19):5796. doi: 10.3390/jcm13195796
- Ferreira M, Oliveira M, Laranjo S, Rocha I. Linking Sleep Disorders to Atrial Fibrillation: Pathways, Risks, and Treatment Implications. Biology. 2024;13(10):761. doi: 10.3390/biology13100761
Ferreira M, Laranjo S, Cunha P, Geraldes V, Oliveira M, Rocha I. Orthostatic Stress and Baroreflex Sensitivity: A Window into Autonomic Dysfunction in Lone Paroxysmal Atrial Fibrillation. J Clin Med. 2023;12(18):5857. doi: 10.3390/jcm12185857
- Geraldes V, Laranjo S, Nunes C, Rocha I. Central Autonomic Network Regions and Hypertension: Unveiling Sympathetic Activation and Genetic Therapeutic Perspectives. Biology. 2023;12(8):1153. doi: 10.3390/biology12081153
- Geraldes V, Laranjo S, Rocha I. Hypothalamic Ion Channels in Hypertension. Curr Hypertens Rep. 2018;20(2):14. doi: 10.1007/s11906-018-0814-x
(Additional publications available on PI individual page)
Prizes and Awards
- Best Work on Electrophysiology, ARRITMIAS 2024 – Oliveira M, Cunha P, Laranjo S et al.
- Winner "Mais Valor em Saúde – Vidas que Valem", 2021 – MORE-CARD project (Oliveira M, Laranjo S)
- Jorge Quininha Prize, Portuguese Society of Cardiology, 2016 – Baroreflex effectiveness in CRT (Laranjo S et al.)
- Jorge Quininha Prize, Portuguese Society of Cardiology, 2012b – Tilt training in neurocardiogenic syncope (Laranjo S et al.)
- Jorge Quininha Prize, Portuguese Society of Cardiology, 2012a – Vagal modulation and AF (Oliveira M, Laranjo S et al.)
- Jorge Quininha Prize, Portuguese Society of Cardiology, 2011 – Vagal modulation electrophysiology (Oliveira M, Laranjo S et al.)
- Jorge Quininha Prize, Portuguese Society of Cardiology, 2010b – AF termination (Oliveira M, Laranjo S et al.)
- Jorge Quininha Prize, Portuguese Society of Cardiology, 2010a – AF vulnerability (Oliveira M, Laranjo S et al.)
- Young Award Prize – Basic Research, SPC, 2015 – Electromagnetic impedance tomography (Laranjo S et al.)
- Young Award Prize – Clinical Research, SPC, 2014 – Syncope prediction model (Laranjo S et al.)
- Young Award Prize – Basic Research, SPC, 2013 – VT substrates in TOF (Laranjo S et al.)
- FUNDAÇÃO ALTRAN Prize, 2014 – IBiCardioRotors prototype (Laranjo S co-developer)
- Best Publication Rev Port Cardiol, 2012 – AF electrophysiological modulation (Oliveira M, Laranjo S et al.)
- Best Oral Communication, SPC 2010 – Tilt training vasoconstrictor reserve (Laranjo S et al.)
- Lisbon Arrhythmia Meeting Prize, 2011 – Connexin/ion channel remodeling (Oliveira M, Laranjo S et al.)
- Lisbon Arrhythmia Meeting Prize, 2010 – Gap junctional remodeling (Oliveira M, Laranjo S et al.)
- EFNS/EFAS Investigator Award, 2008 – Wavelet analysis in AF (Oliveira M, Laranjo S et al.)
(Honourable mentions: Arritmias 2016, Arritmias 2014, Arritmias 2013)
Colaborations
- Prof. Isabel Rocha – Institute of Physiology, Faculty of Medicine, University of Lisbon, Portugal
- Dr. Ana Londral – NOVA Medical School, Value for Health Colab
- Prof. Andreu M. Climent – Instituto de Investigación e Innovación en Bioingeniería (i3B), Universitat Politècnica de València, Spain
- Prof. Hugo Silva – Instituto Superior Técnico, University of Lisbon, Portugal
- Prof. André Lourenço – Instituto Superior de Engenharia de Lisboa, Portugal
- Prof. Hugo Ferreira – Institute of Biophysics and Biomedical Engineering, Faculty of Sciences, University of Lisbon, Portugal
- Prof. Jordi Heijman – Department of Cardiology, Maastricht University, Netherlands
- Prof. Alexandre Andrade – Faculty of Sciences, University of Lisbon, Portugal
- Prof. Adélia Sequeira – Department of Mathematics, Instituto Superior Técnico, University of Lisbon, Portugal
- Prof. Daniel Simões Lopes – IDMEC, Instituto Superior Técnico, University of Lisbon, Portugal
- Prof. Vera Geraldes – Institute of Physiology, Faculty of Medicine, University of Lisbon, Portugal
- Digital Data Design Institute (D³@NOVA) – NOVA School of Business and Economics and NOVA Medical School, Portugal
- CardioID – Digital Health Technology Partner
- Corify Care – ECGi Technology Partner
- Promptly – Digital Health Technology Partner