REVERT - taRgeted thErapy for adVanced colorEctal canceR paTients

The research in the REVERT Project described in a Spanish podcast

UCAM, through the Structural Bioinformatics and High-Performance Computing (BIO-HPC) research group and its International Projects Office (OPRI) coordinates the Work Package 3 of the REVERT EU Project, aimed at the creation of a platform that allows the stratification of patients at risk according to their individual response to treatment with already-approved drugs. This will be the basis for developing a decision-support system that identifies relevant signatures within the molecular and clinical data of the patients for individualized treatment.

Horacio Pérez-Sánchez, from the Fundacion Universitaria San Antonio – UCAM, as a personal free-time project has created a Spanish podcast called “Investigando la investigación (Researching the research)” in which the discussion is on how research is made directly by researchers. In particular, the focus is not just on the science of the projects itself, but on how the researchers struggle and suffer (and enjoy!) in order to make these projects progress.

Therefore, there are many interviews in some of the episodes but in some others, I tell myself (and other times with my co-workers or colleagues from some joint projects) about our work. By the way, I focus not just on academic research but also on industrial research, technology transfer and the whole research ecosystem (research officers, grant calls, consulting firms, grant-makers, etc). Finally, I try to give advice about some productivity techniques that based on my experience I think are useful as researchers and on research in general.”

Horacio Pérez-Sánchez

Feedback has been received from the audience, asking for an English version. Therefore, another episode about the REVERT Project will be soon available in English, including interventions of some of the partners.

You can click HERE to listen the episode in Spanish!


This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 848098”.

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