RT Conference Proceedings
T1 FIMED: Flexible management of biomedical data
A1 Hurtado-Requena, Sandro José
A1 García-Nieto, José Manuel
A1 Navas-Delgado, Ismael
A1 Aldana-Montes, José Francisco
K1 Ensayos clínicos
K1 Bases de datos - Gestión
AB In the last decade, clinical trial management systems have become an essential support tool for data management and analysis in clinical research. However, these clinical tools have design limitations, since they are currently not able to cover the needs of adaptation to the continuous changes in the practice of the trials due to the heterogeneous and dynamic nature of the clinical research data. These systems are usually proprietary solutions provided by vendors for specific tasks. In this work, we propose FIMED, a software solution for the flexible management of clinical data from multiple trials, moving towards personalized medicine, which can contribute positively by improving clinical researchers quality and ease in clinical trials. This tool allows a dynamic and incremental design of patients’ profiles in the context of clinical trials, providing a flexible user interface that hides the complexity of using databases. Clinical researchers will be able to define personalized data schemas according to their needs and clinical study specifications. Thus, FIMED allows the incorporation of separate clinical data analysis from multiple trials. The efficiency of the software has been demonstrated by a real-world use case for a clinical assay in Melanoma disease, which has been indeed anonymized to provide a user demonstration. FIMED currently provides three data analysis and visualization components, guaranteeing a clinical exploration for gene expression data: heatmap visualization, clusterheatmap visualization, as well as gene regulatory network inference and visualization. An instance of this tool is freely available on the web at https://khaos.uma.es/fimed. It can be accessed with a demo user account, «researcher», using the password «demo». Category: COMPUTER SCIENCE, THEORY & METHODS. Ranking: 13/110. Journal: COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. Year: 2021. DOI: https://doi.org/10.1016/j.cmpb.2021.106496.
YR 2022
FD 2022-09-05
LK https://hdl.handle.net/10630/24932
UL https://hdl.handle.net/10630/24932
LA spa
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026