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This review paper provides a comprehensive overview of computational modeling approaches applied to the study of tumors and brain disorders, with a particular focus on ablation therapies. We delve into the fundamental principles governing heat transfer and electric fields in biological tissues, as exemplified by hepatic tumor ablation. A key component of this review is the design and conceptual implementation of a parameter study, demonstrating how variations in electrical, thermal, geometric, and operational parameters can significantly influence ablation outcomes. Through simulated data and visualizations, we illustrate the sensitivity of maximum temperature achieved and necrotic tissue volume to factors such as applied voltage, ablation time, and blood perfusion rates. This work highlights the critical role of computational modeling in optimizing treatment strategies, predicting patient-specific responses, and advancing our understanding of complex biological phenomena in neuro-oncology. The insights gained from such parameter studies are invaluable for guiding the development of more effective and safer therapeutic interventions for brain tumors and related neurological disorders.