Применение методов математического моделирования для оптимизации разработки новых иммуноонкологических препаратов

Immunotherapies are one of the most promising strategies for cancer treatment as they enable achieving stable remission in patients with advance cancer stages. High variability in treatment response is one of the key problems in oncopharmacology in general and in oncoimmunology in particular. Combinations of medicines and personalization of the therapy can be used to gain maximal treatment efficacy and mathematical modeling serves as a tool for optimization of these strategies. The presentation will be focused on application of mathematical model, characterizing immune response, in development of combination immunotherapies.