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

This 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.

• 第一著者: Palma Ponce, Bryan Andrés (author)
• フォーマット: masterThesis
• 出版事項: 2024
• 主題: Inteligencia artificial - Aplicaciones biológicas; Aprendizaje automático (Inteligencia artificial); Biomarcadores; Vejiga – Cáncer; Cáncer – Tratamiento; Genómica
• オンライン･アクセス: https://repositorio.puce.edu.ec/handle/123456789/45069