Adaptive therapy, a new therapeutic strategy, is increasingly applied in the treatment of cancer. It is a great challenge to identify the therapeutic period and dose in adaptive therapy. In this talk, we presented a computational framework by combining mathematical modeling and optimization to establish the adaptive therapeutic schedule. Based on the available data for prostate cancer, the therapeutic period and dose in adaptive therapy are obtained. Through numerical simulations and quantitative analysis, we compare our therapeutic schedule and current adaptive therapeutic schedules in patients with prostate cancer in three aspects: the total drug dose, the peak number of drug-resistant cancer cells and the survival time. These results demonstrate that our therapeutic framework is superior to the current adaptive therapeutic schedules. The proposed therapeutic framework could provide an identifiable adaptive therapy to achieve personal and precise treatment for prostate cancer.