Listar por autor "Galdo, Brais"

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    • Artificial intelligence in paediatrics: Current events and challenges 

      Galdo, Brais; Pazos, Carla; Pardo, Jerónimo; Solar, Alfonso; Llamas, Daniel; Fernández-Blanco, Enrique; Pazos, A. (Elsevier, 2024-03)
      [Abstract]: This article examines the use of artificial intelligence (AI) in the field of paediatric care within the framework of the 7P medicine model (Predictive, Preventive, Personalized, Precise, Participatory, Peripheral ...

    • Detection of Chocolate Properties Using Near-Infrared Spectrophotometry † 

      Galdo, Brais; Fernández-Blanco, Enrique; Rivero, Daniel (MDPI, 2021)
      [Abstract] Knowing the chemical composition of a substance provides valuable information about it. That is why numerous techniques have been developed to try to obtain it. One of them is the Near Infrared Spectrometry ...

    • Development of a Server for the Implementation of Data Processing Pipelines and ANN Training 

      Galdo, Brais; Rivero, Daniel (MDPI, 2021)
      [Abstract] Data processing and the use of machine learning techniques make it possible to solve a wide variety of problems. The great disadvantage of using this type of technology is the enormous amount of computation ...

    • 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 ...

    • PRACTICUM DIRECT Simulator for Decision Making during Pandemics 

      Puente-Castro, Alejandro; Galdo, Brais; Said-Criado, Ismael; Baltar Boileve, David; Rabuñal, Juan R.; Pazos, A.; Martínez Pillado, Modesto (MDPI, 2021)
      [Abstract] The past and current situation of the SARS-CoV-2 pandemic has put the entire society, and especially all hospital systems, worldwide to the test. It is essential that health system managers and decision makers ...

    • Prediction of Anti-Glioblastoma Drug-Decorated Nanoparticle Delivery Systems Using Molecular Descriptors and Machine Learning 

      Munteanu, Cristian-Robert; Gutiérrez-Asorey, Pablo; Blanes-Rodríguez, Manuel; Hidalgo-Delgado, Ismael; Blanco Liverio, María de Jesús; Galdo, Brais; Porto-Pazos, Ana B.; Gestal, M.; Arrasate, Sonia; González-Díaz, Humberto (MDPI, 2021)
      [Abstract] The theoretical prediction of drug-decorated nanoparticles (DDNPs) has become a very important task in medical applications. For the current paper, Perturbation Theory Machine Learning (PTML) models were built ...