Researchers to create computational models to improve treatments for ovarian cancer The 5-year research project involves 14 organizations in seven EU countries and is funded by €15 M from the EU. The Genome Data Science lab, led by ICREA researcher Fran Supek, will analyze the evolution of ovarian tumors to develop computational models for predicting treatment resistance. The EU has granted €15 M to fund a 5-year project that seeks to improve personalized treatments for ovarian cancer. The international DECIDER project involves partners from 14 organizations in seven EU countries. In Europe, over 40000 women die of ovarian cancer every year. In addition to surgery, most patients are treated with platinum-based chemotherapy. Unfortunately, the effect of the chemotherapy often decreases with treatment cycles, and few effective treatments are currently available for patients who develop resistance to platinum-based drugs.