A5087739397- Cardiac Valve Diseases and Treatments
- Infective Endocarditis Diagnosis and Management
- Cardiac Imaging and Diagnostics
- Streptococcal Infections and Treatments
- Soil and Unsaturated Flow
- Cardiovascular Effects of Exercise
- Explainable Artificial Intelligence (XAI)
- Cardiovascular Function and Risk Factors
- Cardiac electrophysiology and arrhythmias
- Cardiac pacing and defibrillation studies
- Platelet Disorders and Treatments
- Groundwater flow and contamination studies
- Anomaly Detection Techniques and Applications
- Aortic Disease and Treatment Approaches
- Soil Moisture and Remote Sensing
- Advanced MRI Techniques and Applications
- Cardiomyopathy and Myosin Studies
- Atrial Fibrillation Management and Outcomes
- Grouting, Rheology, and Soil Mechanics
- Cardiac Arrhythmias and Treatments
- Cardiac Structural Anomalies and Repair
- Natural Language Processing Techniques
- Congenital Heart Disease Studies
- Acute Myocardial Infarction Research
- Antimicrobial Resistance in Staphylococcus
Universidade de São Paulo
2017-2024
Politecnico di Milano
2024
Hospital do Coração
2024
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo
2019-2023
Hospital São Paulo
2021
Instituto do Coração
2021
University of Chieti-Pescara
2016-2020
Sociedade Brasileira de Cardiologia
2020
Interamerican Society of Cardiology
2020
Hospital Israelita Albert Einstein
2020
1. Introduction There are currently a wide modalities of interventional strategies – both transcatheter and surgical which can be indicated for patients with valvular heart diseases (VHD), the objective reducing morbidity mortality. The correct timing indication type treatment linked to precise anatomical functional diagnosis VHD, comprehensive global evaluation patient. 2020 Update Brazilian Guidelines in addition compiling [...]
The study aim is to compare cTnI values measured with three high-sensitivity (hs) methods in apparently healthy volunteers and patients admitted emergency department (ED) acute coronary syndrome enrolled a large multicentre study. Heparinized plasma samples were collected from 1511 subjects 8 Italian clinical institutions (mean age: 51.5 years, SD: 14.1 range: 18–65 F/M ratio:0.95). All denied chronic or diseases had normal of routine laboratory tests. Moreover, 1322 heparinized sample also...
Background Few data exist on the degree of interstitial myocardial fibrosis in patients with classical low-flow, low-gradient aortic stenosis (LFLG-AS) and its association left ventricular flow reserve (FR) dobutamine stress echocardiography. This study sought to evaluate diffuse measured by T1 mapping cardiac magnetic resonance technique LFLG-AS without FR. Methods Prospective including 65 consecutive (41 [mean age, 67.1±8.4 years; 83% men] 24 high-gradient used as controls) undergoing...
Abstract Aims Left ventricular remodelling occurs during the chronic course of aortic regurgitation (AR) and stenosis (AS), leading to myocardial hypertrophy fibrosis. Several studies have shown that extracellular volume fraction (ECV) indexed (iECV) are important surrogate markers diffuse fibrosis (MF). Postoperative data on these cardiovascular magnetic resonance (CMR) expansion parameters for either AS or AR scarce. This study aimed demonstrate postoperative changes occur in MF, influence...
The emergence of the novel coronavirus has led to a global pandemic which airline industry facing severe losses. For air travel recover, airlines need ensure safe travel. In this paper, authors have modeled droplet dispersion after single breath from an index patient. Computational Fluid Dynamics (CFD) simulations are conducted using k-ωSST turbulence model in ANSYS Fluent. taken into consideration several parameters such as size mouth opening, velocity cabin well number droplets being...
Abstract Background Corynebacterium diphtheriae ( C. ) infections, usually related to upper airways involvement, could be highly invasive. Especially in developing countries, non-toxigenic strains are now emerging as cause of invasive disease like endocarditis. The present case stands out for reinforcing the high virulence this pathogen, demonstrated by multiple systemic embolism and severe valve deterioration. It also emphasizes importance a coordinated interdisciplinary work address all...
Object Surgical decompression is the recommended treatment in patients with moderate to severe degenerative lumbar spinal stenosis (DLSS) whom symptoms do not respond conservative therapy. Multilevel disease, poor patient health, and advanced age are generally considered predictors of a outcome after surgery, essentially because surgical technique that has always been invasive prone causing postoperative instability. The authors present minimally performed using unilateral approach for...
The aim of the present study is to assess multimodality imaging findings according systemic biomarkers, high-sensitivity troponin I (hsTnI) and B-type natriuretic peptide (BNP) levels, in low-flow, low-gradient aortic stenosis (LFLG-AS).Elevated levels BNP hsTnI have been related with poor prognosis patients LFLG-AS.Prospective LFLG-AS that underwent hsTnI, BNP, coronary angiography, cardiac magnetic resonance (CMR) T1 mapping, echocardiogram dobutamine stress echocardiogram. Patients were...
Abstract: Since a specific inhibition of cerebral spermidine (Spd) synthase activity by alicyclic amines was preliminarily observed in vitro , we examined the vivo inhibitory effectiveness dicyclohexylamine (DCHA) on Spd biosynthesis 21‐day‐old rat brain. For this purpose previously reported HPLC procedure (Porta et al., 1981 ) modified to analyze levels DCHA at time polyamine determinations. The intraperitoneally injected shown cross blood‐brain barrier easily, reaching high tissue (∼750...
Heyde's syndrome is the association of severe aortic stenosis with episodes gastrointestinal bleeding due to angiodysplastic lesion. Little known about factors associated new and long-term outcomes. Furthermore, most data are restricted case reports small series.To assess clinical, laboratory echocardiography profile patients who underwent valve intervention or drug therapy.Prospective cohort 24 consecutive from 2005 2018. Clinical, were assessed, as well those related outcomes after...
Transparency and explainability in image classification are essential for establishing trust machine learning models detecting biases errors. State-of-the-art methods generate saliency maps to show where a specific class is identified, without providing detailed explanation of the model's decision process. Striving address such need, we introduce post-hoc method that explains entire feature extraction process Convolutional Neural Network. These explanations include layer-wise representation...
Transparency and explainability in image classification are essential for establishing trust machine learning models detecting biases errors. State-of-the-art methods generate saliency maps to show where a specific class is identified, without providing detailed explanation of the model's decision process. Striving address such need, we introduce post-hoc method that explains entire feature extraction process Convolutional Neural Network. These explanations include layer-wise representation...
Aerospace manufacturing companies, such as Thales Alenia Space, design, develop, integrate, verify, and validate products characterized by high complexity low volume. They carefully document all phases for each product but analyses across are challenging due to the heterogeneity unstructured nature of data in documents. In this paper, we propose a hybrid methodology that leverages Knowledge Graphs (KGs) conjunction with Large Language Models (LLMs) extract contained these We consider case...
Ontologies often lack explicit disjointness declarations between classes, despite their usefulness for sophisticated reasoning and consistency checking in Knowledge Graphs. In this study, we explore the potential of Large Language Models (LLMs) to enrich ontologies by identifying asserting class axioms. Our approach aims at leveraging implicit knowledge embedded LLMs, using prompt engineering elicit classifying ontological disjointness. We validate our methodology on DBpedia ontology,...