• Integrative Multi-Omics Data-Driven Approach for Metastasis Prediction in Cancer 

      Fernández-Lozano, Carlos; Liñares Blanco, Jose; Gestal, M.; Dorado, Julián; Pazos, A. (ACM, 2018)
      [Abstract] Nowadays biomedical research is generating huge amounts of omic data, covering all levels of genetic information from nucleotide sequencing to protein metabolism. In the beginning, data were analyzed independently ...
    • The Influence of Immersive Environments on the Empathy Construct about Schizophrenia 

      Gomes, Paulo Veloso; Marques, António; Pereira-Loureiro, Javier; Donga, João (M D P I AG, 2018-07-22)
      [Abstract] This work explores the potential of the use of interactive and immersive technologies to create impactful experiences that generate emotions, contributing to the process of activation or somatic excitation that ...
    • Redesign and performance of an automatic segmentation method 

      Carballal, Adrián; Fernández-Lozano, Carlos; Nóvoa, Francisco; Rodríguez-Fernández, Nereida; Santos, Iria; García-Guimaraes, Marcos; Aldama López, Guillermo; Calviño-Santos, Ramón; Vázquez Rodríguez, José Manuel; Pazos, A. (MDPI, 2018-09-05)
      [Resumen] La información más relevante de las angiografías coronarias se extrae empleando técnicas de segmentación, que pueden ser automáticas, semiautomáticas o manuales. Existen numerosos algoritmos de segmentación ...
    • Guidelines to support graphical user interface design for children with autism spectrum disorder: an interdisciplinary approach 

      Groba, Betania; Canosa, Nereida; Concheiro-Moscoso, Patricia (M D P I AG, 2018-09-17)
      [Abstract] The study aims to describe the guidelines to support user interface design for develop technology centered in the specific learning style, abilities and needs of children with Autism Spectrum Disorder (ASD). ...
    • Raspberry Pimu: Raspberry Pi based inertial sensor data processing system 

      Alvarellos, Alberto; Vázquez, Adrián; Rabuñal, Juan R. (MDPI, 2018-09-18)
    • Gene Signatures Research Involved in Cancer Using Machine Learning 

      Liñares Blanco, Jose; Fernández-Lozano, Carlos (M D P I AG, 2019)
      [Abstract] With the cheapening of mass sequencing techniques and the rise of computer technologies, capable of analyzing a huge amount of data, it is necessary nowadays that both branches mutually benefit. Transcriptomics, ...
    • Prediction of Peptide Vascularization Inhibitory Activity in Tumor Tissue as a Possible Target for Cancer Treatment 

      Liñares Blanco, Jose; Fernández-Lozano, Carlos (M D P I AG, 2019-07-31)
      [Abstract]The prediction of metabolic activities in silico form is crucial to be able to address all research possibilities without exceeding the experimental costs. In particular, for cancer research, the prediction of ...
    • Use of Multiple Astrocytic Configurations within an Artificial Neuro-Astrocytic Network 

      Pazos, A.; Porto-Pazos, Ana B.; Álvarez-González, S.; Cedrón, Francisco (MDPI AG, 2019-08-07)
      [Abstract] The artificial neural networks used in a multitude of fields are achieving good results. However, these systems are inspired in the vision of classical neuroscience where neurons are the only elements that process ...
    • Estimation of the Alcoholic Degree in Beers through Near Infrared Spectrometry Using Machine Learning 

      Galdo, Brais; Rivero, Daniel; Fernández-Blanco, Enrique (M D P I AG, 2019-08-13)
      [Abstract] It is a fact that, non-destructive measurement technologies have gain a lot of attention over the years. Among those technologies, NIR technology is the one which allows the analysis of electromagnetic spectrum ...
    • System for Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques 

      Puente-Castro, Alejandro; Munteanu, Cristian-Robert; Fernández-Blanco, Enrique (M D P I AG, 2019-08-21)
      [Abstract] Automatic detection of Alzheimer’s disease is a very active area of research. This is due to its usefulness in starting the protocol to stop the inevitable progression of this neurodegenerative disease. This ...
    • Enhancing Decision-making Systems with Relevant Patient Information by Leveraging Clinical Notes 

      Almeida, João Rafael; Figueira Silva, Joáo; Pazos, A.; Matos, Sergio; Oliveira, José Luís (Science and Technology Publications, 2020)
      [Abstract] Hospitalised patients suffering from secondary illnesses that require daily medication typically need personalised treatment. Although clinical guidelines were designed considering those circumstances, existing ...
    • Rudeva: una herramienta para la implantación de rúbricas de evaluación 

      Carballa, Roberto; Gestal, M.; Munteanu, Cristian-Robert; Rabuñal, Juan R.; Dorado, Julián (Universidade da Coruña, Cufie, 2020)
      [Resumen]: En el proceso educativo, uno de los procesos más importantes en el proceso educativo y, a la vez más costosos en cuanto al tiempo dedicado es el relativo a la evaluación (de la Garza, 2004). Sobre todo cuando ...
    • Implementing a Web Application for W3C WebAuthn Protocol Testing 

      Rivera-Dourado, Martiño; Gestal, M.; Vázquez-Naya, José (MDPI AG, 2020-08-18)
      [Abstract] During the last few years, the FIDO Alliance and the W3C have been working on a new standard called WebAuthn that aims to substitute the obsolete password as an authentication method by using physical security ...
    • Application of Artificial Neural Networks for the Monitoring of Episodes of High Toxicity by DSP in Mussel Production Areas in Galicia 

      Molares-Ulloa, Andrés; Fernández-Blanco, Enrique; Rivero, Daniel (MDPI AG, 2020-08-19)
      [Abstract] This study seeks to support, through the use of Artificial Neural Networks (ANN), the decision to perform closings after days without sampling in the Vigo estuary. The opening and closing of the mussel production ...
    • Digital Image Quality Prediction System 

      Rodríguez-Fernández, Nereida; Santos, Iria; Torrente-Patiño, Álvaro; Carballal, Adrián (MDPI AG, 2020-08-19)
      [Abstract] “A picture is worth a thousand words.” Based on this well-known adage, we can say that images are important in our society, and increasingly so. Currently, the Internet is the main channel of socialization and ...
    • Web Server and R Library for the Calculation of Markov Chains Molecular Descriptors 

      Carracedo-Reboredo, Paula; Munteanu, Cristian-Robert; González-Díaz, Humberto; Fernández-Lozano, Carlos (MDPI AG, 2020-08-20)
      {Abstract] Markov Chain Molecular Descriptors (MCDs) have been largely used to solve Cheminformatics problems. The software to perform the calculation is not always available for general users. In this work, we developed ...
    • Design and Implementation of a Physical Bitcoin Coin 

      Femenias-Hermida, Alberto; Munteanu, Cristian-Robert; Vázquez-Naya, José (MDPI AG, 2020-08-20)
      [Abstract] One of the major factors hindering the adoption of crypto assets in general, and Bitcoin in particular, is the high level of complexity they present to the common user. Although physical coins are a possible ...
    • Shiny Dashboard for Monitoring the COVID-19 Pandemic in Spain 

      Fernández-Lozano, Carlos; Cedrón, Francisco (MDPI AG, 2020-08-20)
      [Abstract] Real-time monitoring of events such as the recent pandemic caused by COVID-19, as well as the visualization of the effects produced by its expansion, has highlighted the need to join forces in fields already ...
    • Probiotic: First Prescriptive Application of Probiotics in Spain 

      Álvarez-González, S.; Rodríguez Fernández, Jose Antonio; Porto-Pazos, Ana B.; Pazos, A.; Cedrón, Francisco (MDPI AG, 2020-08-21)
      [Abstract] The study of the intestinal microbiota is one of the greatest challenges in today’s clinical environment. Thus, probiotics have been established as a focus for its stability, as they play a key role in its ...
    • Developing an Open-Source, Low-Cost, Radon Monitoring System 

      Alvarellos, Alberto; Rabuñal, Juan R. (MDPI AG, 2020-08-24)
      [Abstract] The United States Environmental Protection Agency (USEPA) and the International Agency for Research on Cancer (IARC) have declared Radon gas a human carcinogen. Spain has several regions with high radon ...