In this study, we presented an innovative artificial analysis framework that integrates a mechanistic mathematical model with machine learning (ML) algorithms to improve prediction of tumor dynamics in the treatment of granulosa cell tumors of the ovary using the combined action of a TRAIL-producing oncolytic virus and PAC-1 therapy. The gene discussed is TNFSF10; the disease is granulosa cell tumor.