NeuroAlreh@b is an innovative, AI-driven methodology for personalized and adaptive neurorehabilitation. It bridges the gap between neuropsychological assessment and computational modeling, offering highly personalized and adaptive sessions. The approach leverages virtual reality-based simulations of daily living activities to enhance ecological validity and efficacy. The feasibility of NeuroAlreh@b has been demonstrated through a clinical study with stroke patients using a tablet-based intervention. The methodology addresses the limitations of traditional rehabilitation approaches, which lack adaptability and are resource-intensive. NeuroAlreh@b uses a multidisciplinary approach, integrating expertise from neuropsychology, computer science, game design, and AI in healthcare. The framework includes patient profiling, training selection, training sessions, and system calibration. AI techniques are used to aggregate neuropsychological assessments, optimize training tasks selection, adapt task difficulty, and calibrate the system. The methodology aims to provide a comprehensive and personalized approach to neurorehabilitation, improving patient outcomes and engagement.NeuroAlreh@b is an innovative, AI-driven methodology for personalized and adaptive neurorehabilitation. It bridges the gap between neuropsychological assessment and computational modeling, offering highly personalized and adaptive sessions. The approach leverages virtual reality-based simulations of daily living activities to enhance ecological validity and efficacy. The feasibility of NeuroAlreh@b has been demonstrated through a clinical study with stroke patients using a tablet-based intervention. The methodology addresses the limitations of traditional rehabilitation approaches, which lack adaptability and are resource-intensive. NeuroAlreh@b uses a multidisciplinary approach, integrating expertise from neuropsychology, computer science, game design, and AI in healthcare. The framework includes patient profiling, training selection, training sessions, and system calibration. AI techniques are used to aggregate neuropsychological assessments, optimize training tasks selection, adapt task difficulty, and calibrate the system. The methodology aims to provide a comprehensive and personalized approach to neurorehabilitation, improving patient outcomes and engagement.