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Updated: May 9, 2026

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
Published on: November 30, 2022
Future challenges of biomedical informatics for translational medicine
Victoria López-Alonso1, Isabel Hermosilla-Gimeno, Guillermo López-Campos
1Bioinformatics Unit, CNM, Instituto de Salud Carlos III, Madrid, Spain.
Abstract:
There are many challenges for Biomedical Informatics (BMI) to meet the promises of Translational Medicine. Several of the challenges have to do with the re-use of clinical data to progress towards 4P Medicine (personalized, preventive, participatory and predictive) and using epidemiology and clinical research as well as the translation of data and knowledge obtained in the laboratory into useful information for the clinical setting. The INBIOMEDvision EU funded project tackled these challenges in a series of events with expert scientists in different related disciplines. As a result, some consensus ideas were reached about the BMI challenges in the research areas of Genotype-Phenotype integration, Translational Systems Biology and Re-use of Clinical information in the Electronic Health Records (EHR) for research and what is needed to meet them.
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