A clinical data validated mathematical model of prostate cancer growth under intermittent androgen suppression therapy AIP Advances 2, 011002 (2012); https://doi.org/10.1063/1.3697848Parameter estimation and optimal scheduling algorithm for a mathematical model of intermittent androgen suppression therapy for prostate cancer Prostate cancer is a serious cause of cancer-related death in men; for example, it is now the second leading cause in the United States. 1 Hormone therapy with androgen deprivation is a major treatment for advanced prostate cancer. However, possibility of recurrence is not low even for patients who have undergone prostatectomy for localized prostate cancer. Clinical trials suggest that intermittent androgen suppression (IAS) with alternating on-and off-treatment periods may be a good alternative strategy to delay the relapse. Recently, Hirata et al.2 proposed a piecewise linear ordinary differential equation model for IAS therapy. In this paper, we show that the model can be well fitted to clinical data by a reliable algorithm based on cross-entropy. The detail protocol is provided to suggest how to use this model to make a proper prediction.