A5043438749- Liver Disease Diagnosis and Treatment
- Biomedical and Engineering Education
- Neurogenesis and neuroplasticity mechanisms
- Functional Brain Connectivity Studies
- Traumatic Brain Injury and Neurovascular Disturbances
- Diet, Metabolism, and Disease
- Psychological Treatments and Disorders
- Teaching and Learning Programming
- Experimental Learning in Engineering
- Autism Spectrum Disorder Research
- Health and Medical Education
- Optical Imaging and Spectroscopy Techniques
- Artificial Intelligence in Healthcare
- Metabolomics and Mass Spectrometry Studies
- Diet and metabolism studies
- Gut microbiota and health
- Online Learning and Analytics
- Scientific Research and Technology
- Memory and Neural Mechanisms
- Social Issues and Sustainability
- Sleep and Wakefulness Research
Pontificia Universidad Católica de Chile
2024
Consejo Nacional de Investigaciones Científicas y Técnicas
2019-2022
Instituto Universitario Hospital Italiano
2019-2022
Hospital Italiano de Buenos Aires
2012-2022
This study was designed to analyze the effect of hippocampal neurogenesis on spatial maps granule cells. Accordingly, we developed and improved an artificial neural network that originally proposed by Aimone. Many biological processes were included in this revised model improve relevance results. We a novel learning-testing protocol activation encoding place cells across contexts over time dentate gyrus. observed that, regardless presence neurogenesis, quantity morphology fields represented...
Online judges in programming courses allow students to improve their coding abilities and instructors analyze student work detect challenging topics. Although several online judge platforms are available, most limited that they cannot support a large number of simultaneously working on an assignment during fixed time period, or can only do so at significant cost, making the use such systems developing countries non-viable. This paper presents Clearn, new platform is (1) cost-conscious, as we...
ABSTRACT Background and Aims Non-invasive biomarkers are urgently needed to identify patients with non-alcoholic fatty liver disease (NAFLD) especially those at risk of progression. This is particularly true in high prevalence areas such as Latin America. The gut microbiome intestinal permeability may play a role the developing NAFLD NASH, but mechanism by which microbiota composition disruption (or dysbiosis) affect progression still unknown. Targeted metabolomics powerful technology for...
Este será el primero de dos artículos donde se tratarán los pasos necesarios para desarrollar un proyecto aplicación técnicas Machine Learning en Salud, que introduce nociones sobre la recolección y análisis datos, selección entrenamiento modelos aprendizaje automático tipo supervisado métodos validación interna cada modelo.
En el artículo anterior se introdujo tema y desarrolló cómo es la recolección análisis de datos, selección entrenamiento modelos aprendizaje automático supervisados los métodos validación interna que permiten corroborar si modelo arroja resultados similares a otros conjuntos prueba. este continuaremos con descripción evaluación del rendimiento, más adecuado para identificar característica va evaluar externa modelo. Además, resume desafíos existentes en implementación Machine Learning desde...
El uso de dispositivos digitales para tratar a personas con trastorno del espectro autista (TEA) tiene buena aceptación, pero hasta el momento no se han registrado investigaciones en Argentina que analicen empíricamente su aporte cuanto los comportamientos comunicativos. objetivo esta investigación consistió evaluar la implicación por lo respecta dos parámetros conductuales: postura y foco atencional niños TEA. Para llevarlo cabo analizaron 211 sesiones (vídeos) 11 (edad, Media = 6.45 años,...
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