A research group from the Biomedical Engineering Research Centre (CREB) at UPC and the Sant Joan de Déu Research Institute (IRSJD), has created EpiGe, a new web application that enhances the speed, accuracy, and cost-efficiency of analyzing and interpreting the molecular subtypes of medulloblastoma. This tool is pivotal for individualized treatment of this malignant brain tumor, predominantly affecting children and young adults. Understanding Medulloblastoma Medulloblastoma is a highly malignant brain tumor that represents approximately 20% of all brain tumors in children and young adults. Accurate classification of the molecular subgroups of medulloblastoma is essential for oncologists to develop the most appropriate treatment plans for each patient. Traditionally, these classification systems are costly and time-consuming, often taking several weeks to yield results, which limits their accessibility for many treatment centers worldwide. A New Clinical Decision Support Tool The multidisciplinary team, including experts from the Biomedical Engineering Research Centre (CREB) at UPC, IRSJD, and Sant Joan de Déu Hospital, has developed a clinical decision support tool designed for rapid, precise, and straightforward classification of the main molecular groups of medulloblastomas. Utilizing accessible technology, this tool aims to support centers globally in providing better care for pediatric brain tumor patients. To facilitate its application, the research group has developed an interactive web platform that enables automated analysis and interpretation of medulloblastoma types. The advancements achieved in this project have been swiftly translated into clinical practice, aiding in the individualization of patient therapy based on the genetic characteristics of the tumor, thereby offering more effective and less toxic targeted therapies. The Development of EpiGe EpiGe application was funded with support from patient family associations at Sant Joan de Déu Hospital, the Marató de TV3, and the Ministry of Science, Innovation, and Universities. This initiative underscores the growing importance of molecular classification in medulloblastoma for […]