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We present patient-specific optimization problems based on longitudinal neuroimaging data for a multi-phase field tumor growth model describing the Glioblastoma Multiforme evolution with angiogenesis and therapy, recently introduced in [1]. We also show the numerical predictions of the optimized model for a clinical test case, proving that the proposed model correctly predicts the overall extension of the tumor distribution and the intensity of the angiogenetic process, paving the way for assisting the clinicians in properly assessing the therapy outcomes and in designing optimal patient-specific therapeutic schedules.