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Number of items: 11.
2026
Article
Subjects > Biomedicine
Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Obesity is recognised to be a risk factor for breast cancer since adipose tissue influences the tumour microenvironment. This study aims to investigate the effect of the secretome of 3T3-L1 adipocytes untreated or treated with liquorice root extract (LRE), containing flavonoids, phenolic acids, and saponins on MCF-7 breast cancer cells. By treating adipocytes with LRE, the secretion of certain pro-tumorigenic factors like IGFBP-6, resistin, and VEGF was reduced. MCF-7 cells exposed to conditioned medium from LRE-treated adipocytes exhibited an increase in reactive oxygen species levels, downregulation of the Nrf2 antioxidant pathway, and increased autophagy. Those conditions reduced cell viability, migration, and colony formation. Additionally, there was downregulation of genes associated with oestrogen signalling and tumour-related processes, including CYP19A1 (aromatase), ERα, Her2, and components of the renin–angiotensin system (RAS). These findings suggest that LRE can modulate the adipocyte secretome to influence breast cancer cell behaviour under obesity-related in vitro conditions. Cianciosi, Danila and Armas Diaz, Yasmany and Yang, Bei and Qi, Zexiu and Chen, Ge and Quiles, José L. and Gasparrini, Massimiliano and Cassotta, Manuela and Calderón Iglesias, Rubén and Battino, Maurizio and Giampieri, Francesca UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es, UNSPECIFIED, manucassotta@gmail.com, ruben.calderon@uneatlantico.es, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es
Subjects > Nutrition Europe University of Atlantic > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Obesity is recognised to be a risk factor for breast cancer since adipose tissue influences the tumour microenvironment. This study aims to investigate the effect of the secretome of 3T3-L1 adipocytes untreated or treated with liquorice root extract (LRE), containing flavonoids, phenolic acids, and saponins on MCF-7 breast cancer cells. By treating adipocytes with LRE, the secretion of certain pro-tumorigenic factors like IGFBP-6, resistin, and VEGF was reduced. MCF-7 cells exposed to conditioned medium from LRE-treated adipocytes exhibited an increase in reactive oxygen species levels, downregulation of the Nrf2 antioxidant pathway, and increased autophagy. Those conditions reduced cell viability, migration, and colony formation. Additionally, there was downregulation of genes associated with oestrogen signalling and tumour-related processes, including CYP19A1 (aromatase), ERα, Her2, and components of the renin–angiotensin system (RAS). These findings suggest that LRE can modulate the adipocyte secretome to influence breast cancer cell behaviour under obesity-related in vitro conditions. Cianciosi, Danila and Armas Diaz, Yasmany and Yang, Bei and Qi, Zexiu and Chen, Ge and Quiles, José L. and Gasparrini, Massimiliano and Cassotta, Manuela and Calderón Iglesias, Rubén and Battino, Maurizio and Giampieri, Francesca UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, jose.quiles@uneatlantico.es, UNSPECIFIED, manucassotta@gmail.com, ruben.calderon@uneatlantico.es, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es
Liquorice alters adipocyte–breast cancer cell crosstalk by modulating oxidative stress and suppressing aromatase and renin–angiotensin signalling.
2025
Article
Subjects > Social Sciences
Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés The global economies depend heavily on commodity prices, which have an effect on businesses, investors, and consumers worldwide. It is important to be able to estimate commodity prices accurately because it facilitates risk management, distribution of resources, and intelligent decision-making. For the current status of research in this area, this study gives a systematic review of the available commodity price prediction models specifically for house prices in real estate. We determine and compare different commodity price prediction models and techniques used in academic and commercial settings. The paper is divided into three primary categories: house price prediction, stock price prediction, and natural gas price prediction. Within each category, various methodologies are utilized, including ensemble methods, neural networks, support vector machines, time series analysis, and regression analysis. This review offers a thorough analysis of both the strengths and limitations of current models, as well as the major variables affecting their performance. Additionally, potential challenges associated with models are discussed, and insights are provided for addressing different prediction issues. The review serves as an invaluable guide for researchers, practitioners, and policymakers seeking to gain deeper knowledge of the latest advancements in commodity price prediction. The findings indicate that machine learning holds significant potential for optimizing house price predictions. Saeed, Natasha and Shafi, Imran and Pervez, Sidra and Bautista Thompson, Ernesto and Kuc Castilla, Ángel Gabriel and Samad, Md Abdus and Ashraf, Imran UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ernesto.bautista@unini.edu.mx, angel.kuc@uneatlantico.es, UNSPECIFIED, UNSPECIFIED
Subjects > Engineering Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés The global economies depend heavily on commodity prices, which have an effect on businesses, investors, and consumers worldwide. It is important to be able to estimate commodity prices accurately because it facilitates risk management, distribution of resources, and intelligent decision-making. For the current status of research in this area, this study gives a systematic review of the available commodity price prediction models specifically for house prices in real estate. We determine and compare different commodity price prediction models and techniques used in academic and commercial settings. The paper is divided into three primary categories: house price prediction, stock price prediction, and natural gas price prediction. Within each category, various methodologies are utilized, including ensemble methods, neural networks, support vector machines, time series analysis, and regression analysis. This review offers a thorough analysis of both the strengths and limitations of current models, as well as the major variables affecting their performance. Additionally, potential challenges associated with models are discussed, and insights are provided for addressing different prediction issues. The review serves as an invaluable guide for researchers, practitioners, and policymakers seeking to gain deeper knowledge of the latest advancements in commodity price prediction. The findings indicate that machine learning holds significant potential for optimizing house price predictions. Saeed, Natasha and Shafi, Imran and Pervez, Sidra and Bautista Thompson, Ernesto and Kuc Castilla, Ángel Gabriel and Samad, Md Abdus and Ashraf, Imran UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, ernesto.bautista@unini.edu.mx, angel.kuc@uneatlantico.es, UNSPECIFIED, UNSPECIFIED
Intelligent Decision Making for Commodities Price Prediction: Opportunities, Challenges and Future Avenues.
Article
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Icons are the first visual element users encounter when searching for applications in online store. Icons with eye-catching features can make an app stand out in user searches, playing a crucial role in attracting user attention and influencing selection. This increases the likelihood of downloads, which can expand the user base, improve revenue, and enhance engagement, contributing to the application’s overall success. However, the majority of research focused on evaluating appeal of apps through application icons is empirical in nature and may lack comprehensive data analytical approaches. While empirical research holds its significance, it may still be limited by the size of the dataset analyzed and could also be subjective. This proposed research presents a novel data-analytical methodology to analyze a large dataset of application icons from Google Play to determine their influence on downloads. It clusters the icons using three different techniques: -means clustering with two distinct feature vectors and agglomerative clustering, extracting various visual features from the clusters that are strongly correlated with application installs. Subsequently, validation of results has revealed that factors of varied colors, the dominance of white or black colors, text, and exposure in the icons can be linked to downloads. Bilal, Ahmad and Turab Mirza, Hamid and Ahmad, Adnan and Hussain, Ibrar and Raza, Ali and Garay, Helena and Alemany Iturriaga, Josep and Ashraf, Imran UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, helena.garay@uneatlantico.es, josep.alemany@uneatlantico.es, UNSPECIFIED
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Icons are the first visual element users encounter when searching for applications in online store. Icons with eye-catching features can make an app stand out in user searches, playing a crucial role in attracting user attention and influencing selection. This increases the likelihood of downloads, which can expand the user base, improve revenue, and enhance engagement, contributing to the application’s overall success. However, the majority of research focused on evaluating appeal of apps through application icons is empirical in nature and may lack comprehensive data analytical approaches. While empirical research holds its significance, it may still be limited by the size of the dataset analyzed and could also be subjective. This proposed research presents a novel data-analytical methodology to analyze a large dataset of application icons from Google Play to determine their influence on downloads. It clusters the icons using three different techniques: -means clustering with two distinct feature vectors and agglomerative clustering, extracting various visual features from the clusters that are strongly correlated with application installs. Subsequently, validation of results has revealed that factors of varied colors, the dominance of white or black colors, text, and exposure in the icons can be linked to downloads. Bilal, Ahmad and Turab Mirza, Hamid and Ahmad, Adnan and Hussain, Ibrar and Raza, Ali and Garay, Helena and Alemany Iturriaga, Josep and Ashraf, Imran UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, helena.garay@uneatlantico.es, josep.alemany@uneatlantico.es, UNSPECIFIED
On the correlation between Google Play Store application icons and downloads.
Article
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Understanding how dietary compounds affect human health is challenged by their molecular complexity and cell-type–specific effects. Conventional multi-cell type (bulk) analyses obscure cellular heterogeneity, while animal and standard in vitro models often fail to replicate human physiology. Single-cell omics technologies—such as single-cell RNA sequencing, as well as single-cell–resolved proteomic and metabolomic approaches—enable high-resolution investigation of nutrient–cell interactions and reveal mechanisms at a single-cell resolution. When combined with advanced human-derived in vitro systems like organoids and organ-on-chip platforms, they support mechanistic studies in physiologically relevant contexts. This review outlines emerging applications of single-cell omics in nutrition research, emphasizing their potential to uncover cell-specific dietary responses, identify nutrient-sensitive pathways, and capture interindividual variability. It also discusses key challenges—including technical limitations, model selection, and institutional biases—and identifies strategic directions to facilitate broader adoption in the field. Collectively, single-cell omics offer a transformative framework to advance human-centric nutrition research. Cassotta, Manuela and Armas Diaz, Yasmany and Cianciosi, Danila and Yang, Bei and Qi, Zexiu and Chen, Ge and Gracia Villar, Santos and Dzul López, Luis Alonso and Grosso, Giuseppe and Quiles, José L. and Xiao, Jianbo and Battino, Maurizio and Giampieri, Francesca manucassotta@gmail.com, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, luis.dzul@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Understanding how dietary compounds affect human health is challenged by their molecular complexity and cell-type–specific effects. Conventional multi-cell type (bulk) analyses obscure cellular heterogeneity, while animal and standard in vitro models often fail to replicate human physiology. Single-cell omics technologies—such as single-cell RNA sequencing, as well as single-cell–resolved proteomic and metabolomic approaches—enable high-resolution investigation of nutrient–cell interactions and reveal mechanisms at a single-cell resolution. When combined with advanced human-derived in vitro systems like organoids and organ-on-chip platforms, they support mechanistic studies in physiologically relevant contexts. This review outlines emerging applications of single-cell omics in nutrition research, emphasizing their potential to uncover cell-specific dietary responses, identify nutrient-sensitive pathways, and capture interindividual variability. It also discusses key challenges—including technical limitations, model selection, and institutional biases—and identifies strategic directions to facilitate broader adoption in the field. Collectively, single-cell omics offer a transformative framework to advance human-centric nutrition research. Cassotta, Manuela and Armas Diaz, Yasmany and Cianciosi, Danila and Yang, Bei and Qi, Zexiu and Chen, Ge and Gracia Villar, Santos and Dzul López, Luis Alonso and Grosso, Giuseppe and Quiles, José L. and Xiao, Jianbo and Battino, Maurizio and Giampieri, Francesca manucassotta@gmail.com, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, santos.gracia@uneatlantico.es, luis.dzul@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es
Single-cell omics for nutrition research: an emerging opportunity for human-centric investigations.
Article
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Food security is a universal need worldwide. This study explored the relationship between food security and adherence to the Mediterranean diet in the context of the DELICIOUS project. A survey involving 2,011 parents of children and adolescents aged 6–17 years was conducted. Adherence to the Mediterranean diet was assessed through the KIDMED score. Information regarding the ease of accessing Mediterranean foods, economic allowance, employment and residence was collected. Logistic regressions analyses were performed to test the associations. Individuals living in rural areas and reporting difficulty in obtaining all studied foods were less likely to follow the Mediterranean diet. Higher adherence was associated with a household monthly income higher than €4000. No associations with family status and no differences across countries were found. The progressive shift away from the Mediterranean diet may depend not only on cultural preferences for unhealthier, industrial alternatives but also on family budgets and food accessibility. Scazzina, Francesca and Rosi, Alice and Giampieri, Francesca and Poveda-Loor, Carlos and Abdelkarim, Osama and Aly, Mohamed and Frias-Toral, Evelyn and Pons, Juancho and Vázquez-Araújo, Laura and Sumalla Cano, Sandra and Elío Pascual, Iñaki and Monasta, Lorenzo and Paladino, Nadia and Mata, Ana and Chacón, Adrián and Busó, Pablo and Grosso, Giuseppe UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, sandra.sumalla@uneatlantico.es, inaki.elio@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED
Ibero-american International University > Research > Articles and books
Ibero-american International University > Research > Articles and Books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Food security is a universal need worldwide. This study explored the relationship between food security and adherence to the Mediterranean diet in the context of the DELICIOUS project. A survey involving 2,011 parents of children and adolescents aged 6–17 years was conducted. Adherence to the Mediterranean diet was assessed through the KIDMED score. Information regarding the ease of accessing Mediterranean foods, economic allowance, employment and residence was collected. Logistic regressions analyses were performed to test the associations. Individuals living in rural areas and reporting difficulty in obtaining all studied foods were less likely to follow the Mediterranean diet. Higher adherence was associated with a household monthly income higher than €4000. No associations with family status and no differences across countries were found. The progressive shift away from the Mediterranean diet may depend not only on cultural preferences for unhealthier, industrial alternatives but also on family budgets and food accessibility. Scazzina, Francesca and Rosi, Alice and Giampieri, Francesca and Poveda-Loor, Carlos and Abdelkarim, Osama and Aly, Mohamed and Frias-Toral, Evelyn and Pons, Juancho and Vázquez-Araújo, Laura and Sumalla Cano, Sandra and Elío Pascual, Iñaki and Monasta, Lorenzo and Paladino, Nadia and Mata, Ana and Chacón, Adrián and Busó, Pablo and Grosso, Giuseppe UNSPECIFIED, UNSPECIFIED, francesca.giampieri@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, sandra.sumalla@uneatlantico.es, inaki.elio@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED
Socio-economic status, food security and adherence to the Mediterranean diet in five Mediterranean countries: the DELICIOUS project.
Article
Subjects > Nutrition
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Strawberries are commonly consumed berries in the Mediterranean area. The fruits present a high concentration of micronutrients and bioactive compounds that confer a plethora of biological activities, including antioxidant and anti-inflammatory properties. This review discusses and updates the recent results of in vivo studies, in animals and humans, focusing on the impact that strawberry consumption has on many common human diseases, such as obesity, cancer, cardiovascular diseases and metabolic disorders; particular attention has been given to the biological effects and molecular mechanisms involved in the beneficial effects exerted by this berry. Evidence suggests these fruits can contribute to preventing or slowing down the progression of many diseases, even though further research is necessary to confirm their long-term effectiveness, to improve patients’ quality of life or prognosis. Cianciosi, Danila and Armas Diaz, Yasmany and Qi, Zexiu and Yang, Bei and Chen, Ge and Cassotta, Manuela and Gracia Villar, Santos and Dzul López, Luis Alonso and Rivas Garcia, Lorenzo and Forbes Hernandez, Tamara Yuliet and Zhang, Di and Mazzoni, Luca and Mezzetti, Bruno and Battino, Maurizio and Giampieri, Francesca UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, manucassotta@gmail.com, santos.gracia@uneatlantico.es, luis.dzul@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés Strawberries are commonly consumed berries in the Mediterranean area. The fruits present a high concentration of micronutrients and bioactive compounds that confer a plethora of biological activities, including antioxidant and anti-inflammatory properties. This review discusses and updates the recent results of in vivo studies, in animals and humans, focusing on the impact that strawberry consumption has on many common human diseases, such as obesity, cancer, cardiovascular diseases and metabolic disorders; particular attention has been given to the biological effects and molecular mechanisms involved in the beneficial effects exerted by this berry. Evidence suggests these fruits can contribute to preventing or slowing down the progression of many diseases, even though further research is necessary to confirm their long-term effectiveness, to improve patients’ quality of life or prognosis. Cianciosi, Danila and Armas Diaz, Yasmany and Qi, Zexiu and Yang, Bei and Chen, Ge and Cassotta, Manuela and Gracia Villar, Santos and Dzul López, Luis Alonso and Rivas Garcia, Lorenzo and Forbes Hernandez, Tamara Yuliet and Zhang, Di and Mazzoni, Luca and Mezzetti, Bruno and Battino, Maurizio and Giampieri, Francesca UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, manucassotta@gmail.com, santos.gracia@uneatlantico.es, luis.dzul@uneatlantico.es, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, maurizio.battino@uneatlantico.es, francesca.giampieri@uneatlantico.es
Strawberry as a health promoter: an evidence-based review. Where are we 10 years later?
2024
Article
Subjects > Engineering
Europe University of Atlantic > Research > Articles and books
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés The correct analysis of medical images requires the medical knowledge and expertise of radiologists to understand, clarify, and explain complex patterns and diagnose diseases. After analyzing, radiologists write detailed and well-structured reports that contribute to the precise and timely diagnosis of patients. However, manually writing reports is often expensive and time-consuming, and it is difficult for radiologists to analyze medical images, particularly images with multiple views and perceptions. It is challenging to accurately diagnose diseases, and many methods are proposed to help radiologists, both traditional and deep learning-based. Automatic report generation is widely used to tackle this issue as it streamlines the process and lessens the burden of manual labeling of images. This paper introduces a systematic literature review with a focus on analyses and evaluating existing research on medical report generation. This SLR follows a proper protocol for the planning, reviewing, and reporting of the results. This review recognizes that the most commonly used deep learning models are encoder-decoder frameworks (45 articles), which provide an accuracy of around 92–95%. Transformers-based models (20 articles) are the second most established method and achieve an accuracy of around 91%. The remaining articles explored in this SLR are attention mechanisms (10), RNN-LSTM (10), Large language models (LLM-10), and graph-based methods (4) with promising results. However, these methods also face certain limitations such as overfitting, risk of bias, and high data dependency that impact their performance. The review not only highlights the strengths and challenges of these methods but also suggests ways to handle them in the future to increase the accuracy and timely generation of medical reports. The goal of this review is to direct radiologists toward methods that lessen their workload and provide precise medical diagnoses. Rehman, Marwareed and Shafi, Imran and Ahmad, Jamil and Osorio García, Carlos Manuel and Pascual Barrera, Alina Eugenia and Ashraf, Imran UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carlos.osorio@uneatlantico.es, alina.pascual@unini.edu.mx, UNSPECIFIED
Ibero-american International University > Research > Articles and books
Universidad Internacional do Cuanza > Research > Articles and books
University of La Romana > Research > Scientific Production Cerrado Inglés The correct analysis of medical images requires the medical knowledge and expertise of radiologists to understand, clarify, and explain complex patterns and diagnose diseases. After analyzing, radiologists write detailed and well-structured reports that contribute to the precise and timely diagnosis of patients. However, manually writing reports is often expensive and time-consuming, and it is difficult for radiologists to analyze medical images, particularly images with multiple views and perceptions. It is challenging to accurately diagnose diseases, and many methods are proposed to help radiologists, both traditional and deep learning-based. Automatic report generation is widely used to tackle this issue as it streamlines the process and lessens the burden of manual labeling of images. This paper introduces a systematic literature review with a focus on analyses and evaluating existing research on medical report generation. This SLR follows a proper protocol for the planning, reviewing, and reporting of the results. This review recognizes that the most commonly used deep learning models are encoder-decoder frameworks (45 articles), which provide an accuracy of around 92–95%. Transformers-based models (20 articles) are the second most established method and achieve an accuracy of around 91%. The remaining articles explored in this SLR are attention mechanisms (10), RNN-LSTM (10), Large language models (LLM-10), and graph-based methods (4) with promising results. However, these methods also face certain limitations such as overfitting, risk of bias, and high data dependency that impact their performance. The review not only highlights the strengths and challenges of these methods but also suggests ways to handle them in the future to increase the accuracy and timely generation of medical reports. The goal of this review is to direct radiologists toward methods that lessen their workload and provide precise medical diagnoses. Rehman, Marwareed and Shafi, Imran and Ahmad, Jamil and Osorio García, Carlos Manuel and Pascual Barrera, Alina Eugenia and Ashraf, Imran UNSPECIFIED, UNSPECIFIED, UNSPECIFIED, carlos.osorio@uneatlantico.es, alina.pascual@unini.edu.mx, UNSPECIFIED
Advancement in medical report generation: current practices, challenges, and future directions.
2019
Other
Subjects > Engineering
Europe University of Atlantic > Research > Software
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español El ahogamiento es una de las principales causas de muerte en el mundo, alrededor de 372.000 personas al año, siendo una cifra que se considera subestimada (OMS, 2014). En consecuencia, existe la necesidad de mejorar esta situación considerada de salud pública. El objetivo del proyecto SOSeas es el desarrollo de una herramienta de evaluación para predecir el riesgo dinámico de los ahogamientos en las playas. En los espacios acuáticos recreativos se espera que una herramienta informática pueda mejorar la gestión de la seguridad por parte de los socorristas y también la información de riesgo de ahogamiento para los bañistas. Este proyecto es una continuidad del trabajo realizado en PreventSOS. En aquel caso el foco era el desarrollo de un sistema experto para la identificación, análisis y gestión del riesgo en espacios acuáticos y el diseño de una aplicación web para el registro de incidentes y accidentes. SOSeas pretende mejorar el servicio anterior integrando el sistema de información que provee el Copernicus Marine Environment Monitoring Service (CMEMS) en todo el mundo. Se pretende conseguir suficientes datos para poder nutrir a un sistema basado en técnicas de aprendizaje-máquina. La herramienta SOSeas se desarrolla para dos tipos de usuarios : gestores de playas/socorristas y usuarios recreativos (nadadores, navegantes, surfistas...). Estos usuarios podrán acceder a las condiciones meteorológicas y oceanográficas así como a información a medida sobre las amenazas de estos entornos siempre cambiantes. UNSPECIFIED UNSPECIFIED
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español El ahogamiento es una de las principales causas de muerte en el mundo, alrededor de 372.000 personas al año, siendo una cifra que se considera subestimada (OMS, 2014). En consecuencia, existe la necesidad de mejorar esta situación considerada de salud pública. El objetivo del proyecto SOSeas es el desarrollo de una herramienta de evaluación para predecir el riesgo dinámico de los ahogamientos en las playas. En los espacios acuáticos recreativos se espera que una herramienta informática pueda mejorar la gestión de la seguridad por parte de los socorristas y también la información de riesgo de ahogamiento para los bañistas. Este proyecto es una continuidad del trabajo realizado en PreventSOS. En aquel caso el foco era el desarrollo de un sistema experto para la identificación, análisis y gestión del riesgo en espacios acuáticos y el diseño de una aplicación web para el registro de incidentes y accidentes. SOSeas pretende mejorar el servicio anterior integrando el sistema de información que provee el Copernicus Marine Environment Monitoring Service (CMEMS) en todo el mundo. Se pretende conseguir suficientes datos para poder nutrir a un sistema basado en técnicas de aprendizaje-máquina. La herramienta SOSeas se desarrolla para dos tipos de usuarios : gestores de playas/socorristas y usuarios recreativos (nadadores, navegantes, surfistas...). Estos usuarios podrán acceder a las condiciones meteorológicas y oceanográficas así como a información a medida sobre las amenazas de estos entornos siempre cambiantes. UNSPECIFIED UNSPECIFIED
SOSeas: An assessment tool for predicting the dynamic risk of drowning on beaches.
2016
Other
Subjects > Engineering
Europe University of Atlantic > Research > Software
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español Como resultado del proyecto “Nuevos mecanismos para conocer el riesgo de lesión en el deporte en diferentes tramos de la temporada deportiva” se ha generado una herramienta digital que permite llevar el control de las lesiones de cada deportista, así como sus constantes biomecánicas, hábitos de alimentación y estado de salud emocional de tal forma que, se cuenta con información que combina varios factores a un nivel de detalle importante y de modo personalizado para cada jugador. De este modo, se obtienen los inputs para generar el análisis estadístico que alerta sobre las probabilidades de sufrir determinada lesión. Objetivo del Proyecto: Desarrollar una herramienta que permita identificar el riesgo de lesión de un deportista, independientemente del nivel o categoría del mismo, y poder actuar en consecuencia de manera individualizada, según el período de la temporada en el que se encuentre. Financiación: Este proyecto ha sido cofinanciado por la Sociedad de Desarrollo Regional de Cantabria (SODERCAN) y el el Programa Operativo FEDER de Cantabria en el marco del programa denominado I+C= +C 2016 (Investigación + Conocimiento= +Cantabria) que tiene por objetivo el fortalecimiento del tejido industrial de la región. Inicio: 15/12/2016 Fin: 14/12/2018 Código Externo: ID16-IN-022 UNSPECIFIED UNSPECIFIED
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español Como resultado del proyecto “Nuevos mecanismos para conocer el riesgo de lesión en el deporte en diferentes tramos de la temporada deportiva” se ha generado una herramienta digital que permite llevar el control de las lesiones de cada deportista, así como sus constantes biomecánicas, hábitos de alimentación y estado de salud emocional de tal forma que, se cuenta con información que combina varios factores a un nivel de detalle importante y de modo personalizado para cada jugador. De este modo, se obtienen los inputs para generar el análisis estadístico que alerta sobre las probabilidades de sufrir determinada lesión. Objetivo del Proyecto: Desarrollar una herramienta que permita identificar el riesgo de lesión de un deportista, independientemente del nivel o categoría del mismo, y poder actuar en consecuencia de manera individualizada, según el período de la temporada en el que se encuentre. Financiación: Este proyecto ha sido cofinanciado por la Sociedad de Desarrollo Regional de Cantabria (SODERCAN) y el el Programa Operativo FEDER de Cantabria en el marco del programa denominado I+C= +C 2016 (Investigación + Conocimiento= +Cantabria) que tiene por objetivo el fortalecimiento del tejido industrial de la región. Inicio: 15/12/2016 Fin: 14/12/2018 Código Externo: ID16-IN-022 UNSPECIFIED UNSPECIFIED
Nuevos mecanismos para conocer el riesgo de lesión en el deporte en diferentes tramos de la temporada deportiva. R&P (Recovery and Performance).
Other
Subjects > Engineering
Europe University of Atlantic > Research > Software
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español El proyecto se centra en el desarrollo de tecnologías para la identificación de riesgos en espacios acuáticos naturales. A partir del conocimiento que se pretende generar, la entidad espera comercializar servicios de soporte para la gestión de riesgos, la acción preventiva y comunicación de emergencias. La propuesta se orienta a crear un sistema experto en la gestión de riesgos en espacios acuáticos naturales (playas), basado por un lado en una aplicación para la evaluación de riesgos, y por otro, en un sistema de registro y análisis de sucesos y accidentes. Esta herramienta debe permitir a los responsables de la gestión de la seguridad en zonas de baño una gestión adecuada y eficaz de los recursos preventivos para minimizar la probabilidad y severidad de riesgos que puedan afectar a la integridad física o a la salud de las personas, y en consecuencia, el aumento de la seguridad acuática en las costas. Objetivo del Proyecto: Desarrollar tecnologías para la identificación de riesgos en espacios acuáticos naturales con el objeto de prevenir ahogamientos y otros incidentes en zonas de playa. Financiación: Este proyecto ha sido cofinanciado por la Sociedad de Desarrollo Regional de Cantabria (SODERCAN) y el el Programa Operativo FEDER de Cantabria en el marco del programa denominado I+C= +C 2016 (Investigación + Conocimiento= +Cantabria) que tiene por objetivo el fortalecimiento del tejido industrial de la región. Inicio: 09/12/2016 Fin: 08/12/2018 Código Externo: ID16-IN-038 UNSPECIFIED UNSPECIFIED
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español El proyecto se centra en el desarrollo de tecnologías para la identificación de riesgos en espacios acuáticos naturales. A partir del conocimiento que se pretende generar, la entidad espera comercializar servicios de soporte para la gestión de riesgos, la acción preventiva y comunicación de emergencias. La propuesta se orienta a crear un sistema experto en la gestión de riesgos en espacios acuáticos naturales (playas), basado por un lado en una aplicación para la evaluación de riesgos, y por otro, en un sistema de registro y análisis de sucesos y accidentes. Esta herramienta debe permitir a los responsables de la gestión de la seguridad en zonas de baño una gestión adecuada y eficaz de los recursos preventivos para minimizar la probabilidad y severidad de riesgos que puedan afectar a la integridad física o a la salud de las personas, y en consecuencia, el aumento de la seguridad acuática en las costas. Objetivo del Proyecto: Desarrollar tecnologías para la identificación de riesgos en espacios acuáticos naturales con el objeto de prevenir ahogamientos y otros incidentes en zonas de playa. Financiación: Este proyecto ha sido cofinanciado por la Sociedad de Desarrollo Regional de Cantabria (SODERCAN) y el el Programa Operativo FEDER de Cantabria en el marco del programa denominado I+C= +C 2016 (Investigación + Conocimiento= +Cantabria) que tiene por objetivo el fortalecimiento del tejido industrial de la región. Inicio: 09/12/2016 Fin: 08/12/2018 Código Externo: ID16-IN-038 UNSPECIFIED UNSPECIFIED
PREVENT-SOS: Desarrollo de tecnologías para la identificación de riesgos en espacios acuáticos naturales.
Other
Subjects > Engineering
Subjects > Teaching Europe University of Atlantic > Research > Software
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español A pesar del gran incremento de la práctica deportiva en la sociedad occidental en los últimos años, aún hay, según fuentes de la UE, aproximadamente un 50% de la población europea que no hace ejercicio regularmente, lo que está generando un grave problema de salud, especialmente preocupante en la población infantil y juvenil. Del 50% de la población que hace deporte de forma regular, un porcentaje muy alto lo hace solo, en casa o en lugares abiertos públicos sin ninguna supervisión o control por parte de personal especializado, lo que conlleva un cierto riesgo de sufrir lesiones y/o patologías de diferente pronósticos. Ante esta situación compleja de tener la necesidad de promover la actividad física pero intentando aminorar el riesgo de la propia práctica, se propone el desarrollo de una aplicación móvil “freemium” que fomente el ejercicio y que integre una serie de tecnologías innovadoras para incorporar inteligencia artificial que aplicará sobre unos elementos de alerta que puedan generar avisos y geolocalizar al practicante de una forma rápida y eficaz. Entendemos que el desarrollo de este tipo de negocios de carácter tecnológico y de alto grado de responsabilidad social hacia la ciudadanía incrementará el tejido empresarial de Cantabria y generará nuevos puestos de trabajo estables y de alto nivel de formación. Las sinergias que se proponen con instituciones universitarias y de investigación fomentarán los ecosistemas profesionales relacionados con las nuevas tecnologías de la información, la salud y la seguridad. El objetivo de este sistema complejo que se propone es promover la actividad física segura de forma global. UNSPECIFIED UNSPECIFIED
Subjects > Teaching Europe University of Atlantic > Research > Software
Fundación Universitaria Internacional de Colombia > Research > Software
Ibero-american International University > Research > Software
Ibero-american International University > Research > ICT Tools
Universidad Internacional do Cuanza > Research > Software
University of La Romana > Research > Software Cerrado Español A pesar del gran incremento de la práctica deportiva en la sociedad occidental en los últimos años, aún hay, según fuentes de la UE, aproximadamente un 50% de la población europea que no hace ejercicio regularmente, lo que está generando un grave problema de salud, especialmente preocupante en la población infantil y juvenil. Del 50% de la población que hace deporte de forma regular, un porcentaje muy alto lo hace solo, en casa o en lugares abiertos públicos sin ninguna supervisión o control por parte de personal especializado, lo que conlleva un cierto riesgo de sufrir lesiones y/o patologías de diferente pronósticos. Ante esta situación compleja de tener la necesidad de promover la actividad física pero intentando aminorar el riesgo de la propia práctica, se propone el desarrollo de una aplicación móvil “freemium” que fomente el ejercicio y que integre una serie de tecnologías innovadoras para incorporar inteligencia artificial que aplicará sobre unos elementos de alerta que puedan generar avisos y geolocalizar al practicante de una forma rápida y eficaz. Entendemos que el desarrollo de este tipo de negocios de carácter tecnológico y de alto grado de responsabilidad social hacia la ciudadanía incrementará el tejido empresarial de Cantabria y generará nuevos puestos de trabajo estables y de alto nivel de formación. Las sinergias que se proponen con instituciones universitarias y de investigación fomentarán los ecosistemas profesionales relacionados con las nuevas tecnologías de la información, la salud y la seguridad. El objetivo de este sistema complejo que se propone es promover la actividad física segura de forma global. UNSPECIFIED UNSPECIFIED
SMART ACTIVE LIFE: Desarrollo de tecnologías inteligentes para la promoción de la vida activa y segura.
This list was generated on Fri Aug 14 02:01:25 2026 UTC.