Publications by authors named "Alejandro Pazos"

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Mitigating patient harm risks: A proposal of requirements for AI in healthcare.
Juan M Garcia-Gomez, Vicent Blanes-Selva, Celia Alvarez Romero, José Carlos de Bartolomé Cenzano, Felipe Pereira Mesquita, Alejandro Pazos

Artif Intell Med· September 2025

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Drug Release Nanoparticle System Design: Data Set Compilation and Machine Learning Modeling.
Shan He, Ander Barón, Cristian R Munteanu, Begoña de Bilbao, Gerardo M Casañola-Martin, Alejandro Pazos

ACS Appl Mater Interfaces· January 2025

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Unraveling druggable cancer-driving proteins and targeted drugs using artificial intelligence and multi-omics analyses.
Andrés López-Cortés, Alejandro Cabrera-Andrade, Gabriela Echeverría-Garcés, Paulina Echeverría-Espinoza, Micaela Pineda-Albán, Alejandro Pazos

Sci Rep· August 2024

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A federated authentication schema among multiple identity providers.
João Rafael Almeida, André Zúquete, Alejandro Pazos, José Luís Oliveira

Heliyon· April 2024

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Prediction of compound-target interaction using several artificial intelligence algorithms and comparison with a consensus-based strategy.
Karina Jimenes-Vargas, Alejandro Pazos, Cristian R Munteanu, Yunierkis Perez-Castillo, Eduardo Tejera

J Cheminform· March 2024

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Artificial intelligence in paediatrics: Current events and challenges.
Brais Galdo, Carla Pazos, Jerónimo Pardo, Alfonso Solar, Daniel Llamas, Alejandro Pazos

An Pediatr (Engl Ed)· March 2024

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Discovery of Biomedical Databases Through Semantic Questioning.
Arnaldo Pereira, João Rafael Almeida, Rui Pedro Lopes, Alejandro Pazos, José Luís Oliveira

Stud Health Technol Inform· May 2022

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A review on machine learning approaches and trends in drug discovery.
Paula Carracedo-Reboredo, Jose Liñares-Blanco, Nereida Rodríguez-Fernández, Francisco Cedrón, Francisco J Novoa, Alejandro Pazos

Comput Struct Biotechnol J· August 2021

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Machine learning analysis of TCGA cancer data.
Jose Liñares-Blanco, Alejandro Pazos, Carlos Fernandez-Lozano

PeerJ Comput Sci· July 2021

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A Recommender System to Help Refining Clinical Research Studies.
João Rafael Almeida, João Figueira Silva, Sérgio Matos, Alejandro Pazos, José Luís Oliveira

Stud Health Technol Inform· May 2021

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Using Machine Learning to Collect and Facilitate Remote Access to Biomedical Databases: Development of the Biomedical Database Inventory.
Eduardo Rosado, Miguel Garcia-Remesal, Sergio Paraiso-Medina, Alejandro Pazos, Victor Maojo

JMIR Med Inform· February 2021

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Discovery of novel immunopharmacological ligands targeting the IL-17 inflammatory pathway.
Elia Álvarez-Coiradas, Cristian R Munteanu, Laura Díaz-Sáez, Alejandro Pazos, Kilian V M Huber

Int Immunopharmacol· December 2020

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A Multi-Objective Approach for Anti-Osteosarcoma Cancer Agents Discovery through Drug Repurposing.
Alejandro Cabrera-Andrade, Andrés López-Cortés, Gabriela Jaramillo-Koupermann, Humberto González-Díaz, Alejandro Pazos

Pharmaceuticals (Basel)· November 2020

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Perturbation-Theory Machine Learning (PTML) Multilabel Model of the ChEMBL Dataset of Preclinical Assays for Antisarcoma Compounds.
Alejandro Cabrera-Andrade, Andrés López-Cortés, Cristian R Munteanu, Alejandro Pazos, Yunierkis Pérez-Castillo

ACS Omega· October 2020

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Molecular docking and machine learning analysis of Abemaciclib in colon cancer.
Jose Liñares-Blanco, Cristian R Munteanu, Alejandro Pazos, Carlos Fernandez-Lozano

BMC Mol Cell Biol· July 2020

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Identification of predictive factors of the degree of adherence to the Mediterranean diet through machine-learning techniques.
Alba Arceo-Vilas, Carlos Fernandez-Lozano, Salvador Pita, Sonia Pértega-Díaz, Alejandro Pazos

PeerJ Comput Sci· July 2020

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A Recommender System Based on Cohorts' Similarity.
João Rafael Almeida, Eriksson Monteiro, Luís Bastião Silva, Alejandro Pazos, José Luís Oliveira

Stud Health Technol Inform· June 2020

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Automatic assessment of Alzheimer's disease diagnosis based on deep learning techniques.
Alejandro Puente-Castro, Enrique Fernandez-Blanco, Alejandro Pazos, Cristian R Munteanu

Comput Biol Med· May 2020

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Prediction of breast cancer proteins involved in immunotherapy, metastasis, and RNA-binding using molecular descriptors and artificial neural networks.
Andrés López-Cortés, Alejandro Cabrera-Andrade, José M Vázquez-Naya, Alejandro Pazos, Humberto Gonzáles-Díaz

Sci Rep· May 2020

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OncoOmics approaches to reveal essential genes in breast cancer: a panoramic view from pathogenesis to precision medicine.
Andrés López-Cortés, César Paz-Y-Miño, Santiago Guerrero, Alejandro Cabrera-Andrade, Stephen J Barigye, Alejandro Pazos

Sci Rep· March 2020

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Gene Prioritization through Consensus Strategy, Enrichment Methodologies Analysis, and Networking for Osteosarcoma Pathogenesis.
Alejandro Cabrera-Andrade, Andrés López-Cortés, Gabriela Jaramillo-Koupermann, César Paz-Y-Miño, Yunierkis Pérez-Castillo, Alejandro Pazos

Int J Mol Sci· February 2020

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Improvement of Epitope Prediction Using Peptide Sequence Descriptors and Machine Learning.
Cristian R Munteanu, Marcos Gestal, Yunuen G Martínez-Acevedo, Nieves Pedreira, Alejandro Pazos

Int J Mol Sci· September 2019

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Gene prioritization, communality analysis, networking and metabolic integrated pathway to better understand breast cancer pathogenesis.
Andrés López-Cortés, César Paz-Y-Miño, Alejandro Cabrera-Andrade, Stephen J Barigye, Cristian R Munteanu, Alejandro Pazos

Sci Rep· November 2018

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Prediction of high anti-angiogenic activity peptides in silico using a generalized linear model and feature selection.
Jose Liñares Blanco, Ana B Porto-Pazos, Alejandro Pazos, Carlos Fernandez-Lozano

Sci Rep· October 2018

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Net-Net Auto Machine Learning (AutoML) Prediction of Complex Ecosystems.
Enrique Barreiro, Cristian R Munteanu, Maykel Cruz-Monteagudo, Alejandro Pazos, Humbert González-Díaz

Sci Rep· August 2018

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