The main goal of this project is to arrive at a mathematical model that is sufficiently accurate that it can be used for the planning of personalized clinical treatment protocols. By personalising treatments, we expect to greatly reduce the burden for patients, while enhancing success rates, in particular for challenging cases. This is important to reduce costs and to shorten treatment duration for patients. The latter is of critical importance for patients at an advanced reproductive age and those who seek to freeze eggs prior to undergoing medical procedures that affect their fertility. We will base our mathematical models both on clinical data and on data from a large animal model. We expect that the detailed, comprehensive, and consistent measurements in cattle will allow us to overcome current short-comings. These will enable us to greatly reduce the amount of data that has to be obtained from patients prior to treatment as we will be able to infer optimal treatment strategies based on a small number of prior measurements in the patient.