Aplicación de algoritmos de inteligencia artificial para la detección de biomarcadores durante el tratamiento de pacientes con cáncer de vejiga

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dc.contributor.advisorGuevara Barrientos, Fabio David
dc.contributor.authorPalma Ponce, Bryan Andrés
dc.date.accessioned09/01/2025 11:36
dc.date.available09/01/2025 11:36
dc.date.issued2024
dc.description.abstractThis study explores the application of artificial intelligence algorithms to genomic data in search of potential biomarkers for personalized bladder cancer treatments. For this study, the data was obtained from an open access repository. After the processing of the data, several algorithms were used to generate a robust model. Despite extensive analysis using advanced machine learning techniques, no significant relationship was found between altered genes and patient treatments. This underlines the complexity of underlying genetic mechanisms and the challenges in identifying effective biomarkers for oncology treatment personalization. While the initial objective was not achieved, this study emphasizes the ongoing need for research to enhance the precision and efficacy of personalized medicine in cancer treatment.en_US
dc.id.advisorAW345308
dc.id.author1313695130
dc.identifier.urihttps://repositorio.puce.edu.ec/handle/123456789/45069
dc.language.isoes
dc.publisherPUCE - Quito
dc.subjectInteligencia artificial - Aplicaciones biológicas
dc.subjectAprendizaje automático (Inteligencia artificial)
dc.subjectBiomarcadores
dc.subjectVejiga - Cáncer
dc.subjectCáncer - Tratamiento
dc.subjectGenómica
dc.titleAplicación de algoritmos de inteligencia artificial para la detección de biomarcadores durante el tratamiento de pacientes con cáncer de vejiga
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