The mission of the Computational BioMedicine Laboratory (CBML) is to develop novel ICT technologies in the wider context of personalized, predictive and preventive medicine aiming at:

• the optimal management of chronic diseases (such as diabetes, cardiovascular disease) and the development of clinical decision support systems,
• the optimization of diagnosis and treatment through the use of novel medical imaging analysis tools and predictive models,
• the integration of multi-level biomedical data for supporting postgenomic clinical trials,
• the integration of in vitro, in vivo and clinical data with mathematical and computational approaches to better understand cancer complexity and progression,
• the implementation of well-established in silico methods and tools towards novel approaches that could be incorporated in the medical clinical research,
• the understanding of spatio-temporal neuronal dynamics of the brain reflecting different perceptual, motor or cognitive states that may be indicative of a wider range of cognitive functions or brain pathologies,
• the semantic interoperability of biomedical data tools and models for enhancing biomedical knowledge discovery.
• the theoretical and algorithmic research in areas of bioinformatics to improve the state- of-the-art and invent solutions to new problems,
• the applications of the state-of-the-art and best-practices in computational methods on specific biological problems with the intent to discover new biomedical knowledge, and support Translation BioMedical methodologies.