Publications by authors named "J Bermejo"
Intraventricular vector flow mapping (VFM) is an increasingly adopted echocardiographic technique that derives time-resolved two-dimensional flow maps in the left ventricle (LV) from color-Doppler sequences. Current VFM models rely on kinematic constraints arising from planar flow incompressibility. However, these models are not informed by crucial information about flow physics; most notably the forces within the fluid and the resulting accelerations.
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- - Stroke is a major global health issue, and atrial myopathy with fibrosis increases the risk of ischemic stroke, but the reasons behind this link are not well understood.
- - Non-invasive imaging techniques like LGE-MRI can map fibrosis in heart tissue, yet these maps are not currently used in stroke risk assessments or biomechanical models related to heart function.
- - Research using advanced simulations shows that fibrosis significantly impacts heart muscle motion and blood flow, particularly affecting how the left atrium and its appendage function, which may help explain the connection between fibrosis and increased stroke risk.
The European-Latin American Consortium towards Eradication of Preventable Gallbladder Cancer (GBC) - EULAT Eradicate CVB is collecting high-quality data and samples in four Latin American countries with a high incidence of GBC: Argentina, Bolivia, Chile and Peru. The goal is to build a unique biorepository integrated with a customized informatics platform, identify, validate, and functionally characterize novel GBC risk biomarkers, and develop GBC prediction models integrating epidemiological and genetic-molecular risk factors. We decided to develop the electronic data collection application EULAT eCollect to facilitate the retrieval of socio-demographic, clinical, lifestyle, nutritional, and sample information from the 15,000 Latin Americans we are enrolling.
View Article and Find Full Text PDFBackground: Aortic valve stenosis of any degree is associated with poor outcomes.
Objectives: The authors aimed to develop a risk prediction model for aortic stenosis (AS) prognosis using machine learning techniques.
Methods: A prognostic algorithm was developed using an AS registry of 10,407 patients undergoing echocardiography between 2008 and 2020.
Background: The location of cutaneous melanoma is associated with photoexposure.
Objectives: To retrospectively analyze changes in the location of cutaneous melanoma over the past 30 years.
Patients And Methods: All patients treated at our hospital for cutaneous melanoma from 1988 through 2017 were prospectively collected.