PRO-ORATICA - PRedictive mOdeling Of RAdiaTion-Induced CArdiotoxicity after breast cancer radiotherapy

The goal of PRO-ORATICA project, carried out by the researcher Eugenia Mylona, is to devise decision-making tools aimed at proposing integrative and feasible strategies for reducing radiation-induced cardiac complications following breast cancer radiation therapy through the construction and validation of spatially accurate multivariable subregion-driven predictive models. The fellowship will take place at Universidad Carlos III de Madrid (UC3M) under the supervision of Dr Javier Pascau, Associate Professor at the Bioengineering and Aerospace Engineering Department. As part of this project, the researcher will carry out a secondment in the Clínica Universidad de Navarra (CUN) in Madrid, under the co-supervision of Dr Felipe Calvo, radiation oncologist, head of the Radiation Oncology Department.

machine learning, data mining, statistical data processing and applications, personalisedmedicine (diagnostic/prognostic biomarker, patient-orientated management solutions); radiation therapy, bioinformatics, e-health, medical informatics, breast cancer, cardiac toxicity, predictive modeling, artificial intelligence

PRO-ORATICA - PRedictive mOdeling Of RAdiaTion-Induced CArdiotoxicity after breast cancer radiotherapy Projects