This research line encompasses the development of different strategies and approaches to improved personalized diagnosis of disease, as well as treatment selection for particular patients, based on their individual characteristics.
Summary
This research line encompasses the development of different strategies and approaches to improved personalized diagnosis of disease, as well as treatment selection for particular patients, based on their individual characteristics. Such a molecular portrait of the patient can be defined, for instance, by integrating genomic information, like mutation profiles and gene expression, as well as other molecular markers. This information can then be used to predict the outcomes of different treatments using information about how other patients with similar characteristics responded to the given treatment. Such enterprise requires a coordinated effort to obtain, process and integrate very heterogeneous sources of information ranging from the sequencing and annotation of genomic variants to the mining of medical literature, as well as the construction of context-specific in-silico models.
Objectives
- Organize the BSC resources for the analysis of large scale genomics and phenotypic data (including disease information from medical resources)
- Apply them in collaborations with clinicians
