- Cardiac electrophysiology and arrhythmias
- Cardiovascular Function and Risk Factors
- Ion channel regulation and function
- Chemotherapy-induced cardiotoxicity and mitigation
- Cardiac Arrhythmias and Treatments
- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- ECG Monitoring and Analysis
- Ear and Head Tumors
- Pharmacogenetics and Drug Metabolism
- Bioinformatics and Genomic Networks
- Elasticity and Material Modeling
- Advanced Neuroimaging Techniques and Applications
- Cancer Treatment and Pharmacology
- Lanthanide and Transition Metal Complexes
- Bone Tumor Diagnosis and Treatments
- Gene Regulatory Network Analysis
- Artificial Intelligence in Healthcare
- Modeling and Simulation Systems
- Cardiomyopathy and Myosin Studies
- Scientific Computing and Data Management
- Muscle activation and electromyography studies
- Advanced Data Storage Technologies
- Medical Image Segmentation Techniques
- Advanced Sensor and Energy Harvesting Materials
University of Lisbon
2024-2025
King's College London
2016-2020
Simula Research Laboratory
2013-2018
Allen Institute for Cell Science
2017
Hospital Universitário Antônio Pedro
2014
Universidade Federal de Juiz de Fora
2008-2013
Abstract Uncovering cellular responses from heterogeneous genomic data is crucial for molecular medicine in particular drug safety. This can be realized by integrating the activities networks of interacting proteins. As proof-of-concept we challenge network modeling with time-resolved proteome, transcriptome and methylome measurements iPSC-derived human 3D cardiac microtissues to elucidate adverse mechanisms anthracycline cardiotoxicity measured four different drugs (doxorubicin, epirubicin,...
Breast Cancer is the most commonly diagnosed cancer worldwide. While screening mammography diminishes burden of this disease, it has some flaws related to presence false negatives. Adapting each woman's needs could help overcome these challenges. traditional risk models are valuable tools, we propose an image-based approach. Since artificial intelligence proven effective in aiding diagnosis breast cancer, aim translate technology prediction. A 3-year prediction model, with a case-control...
The clinical use of the anthracycline doxorubicin is limited by its cardiotoxicity which associated with mitochondrial dysfunction. Redox cycling, DNA damage and electron transport chain inhibition have been identified as potential mechanisms toxicity. However, relative roles each these proposed are still not fully understood. purpose this study to identify pathways independently or in combination responsible for A state art mathematical model mitochondria including citric acid cycle, ROS...
SUMMARY Mechanical deformation affects the electrical activity of heart through multiple feedback loops. The purpose this work is to study effect on transmural dispersion repolarization and surface electrograms using an in silico human ventricular wedge. To achieve purpose, we developed a strongly coupled electromechanical cell model by coupling left ventricle electrophysiology active contraction reparameterized for cells. This was then embedded tissue simulations basis bidomain equations...
Models of cardiac cell electrophysiology are complex non-linear systems which can be used to gain insight into mechanisms dynamics in both healthy and pathological conditions. However, the complexity models make mechanistic difficult. Moreover, these typically fitted averaged experimental data do not incorporate variability observations. Recently, building populations inter- intra-subject simulations has been combined with sensitivity analysis (SA) uncover novel ionic potentially clarify...
Infrastructure projects have great potential to impact the sustainability of cities due typically being large-sized and having a high level intervention. Thus, evaluating these through reports is highly relevant, mainly regarding their impacts on environment, public health, local economy. The Global Reporting Initiative (GRI) most widespread internationally accepted Sustainability report tool. However, GRI does not an infrastructure sector disclosure. This research addresses this gap by...
There is pressing clinical need to identify developing heart attack (infarction) in patients as early possible. However, current state-of-the-art tools practice, underpinned by the evaluation of elevation ST segment 12-lead electrocardiogram (ECG), do not all suffering from lack blood flow muscle (cardiac ischemia), worsening risk for further adverse events and patient outcome overall. In this study, we aimed explore compare portions cardiac repolarization ECG that best capture...
The finite element method is an attractive for solving the equations describing heart electrophysiology and mechanics.The with unstructured tetrahedral meshes particularly suitable representing complex geometrical shapes.On other hand, hexahedral elements are generally thought to behave better solid mechanics problems, in particular nearly incompressible, large-deformation hyperelasticity, which normally encountered models.In this paper we compare performance of coupled electro-mechanics...
Abstract The data currently described was generated within the EU/FP7 HeCaToS project ( He patic and Ca rdiac To xicity S ystems modeling). aimed to develop an in silico prediction system contribute drug safety assessment for humans. For this purpose, multi-omics of repeated dose toxicity were obtained 10 hepatotoxic cardiotoxic compounds. Most gained from vitro experiments which 3D microtissues (either hepatic or cardiac) exposed a therapeutic (physiologically relevant concentrations...
In this work we present a new electromechanical cardiac myocyte model tailored to reproduce the electrical and force generating activities of human ventricular myocytes. The was created by coupling two existing models: ten Tusscher electrophysiology Rice myofilament mechanics model. parameters were adjusted in order replicate available experimental data for main challenges strong feedbacks between models, high non-linearity models mainly lack make adjustments.
Breast Cancer is currently the most commonly diagnosed type of cancer worldwide. While impacts this disease can be mitigated through early diagnosis, generalized screening programs based on full-field digital mammography present several limitations regarding lesion obscurity and false positive diagnosis. Given that, women could benefit from a risk analysis for development BC that would allow their healthcare professionals to adapt in personalized fashion, not only terms frequency but also...
Introduction: The temporal bone fibrous dysplasia is a rare osteodystrophy of the that can cause obstruction external auditory canal and even constriction endolymphatic organs cochlear nerve. blockage lead to formation cholesteatomas in 40% patients with involvement.