<p>Thermal remedy, particularly magnetic hyperthermia, has emerged as a promising approach for tumor treatment, leveraging the specific properties of biocompatible iron-oxide magnetic nanoparticles (MNPs), together with magnetite (Fe₃O₄). The traditional cancer treatment therapies like surgery, chemotherapy, radiotherapy, and immunotherapy carry side effects; therefore, magnetic nanoparticles-induced thermal therapy has proved to be more effective than these techniques. The main objective of this study is to develop a treatment protocol based on mathematical modeling and a simulation approach for cancer therapy. This study compares computational and experimental methodologies for evaluating the efficacy of thermal remedy with the usage of heat generated by MNPs vibrated through multiturn coil excitation. The computational method involves finite element modeling (FEM) and numerical simulations to predict temperature distribution and heat generation inside tumor tissues. These fashions incorporate the bodily houses of MNPs, coil layout, and electromagnetic discipline interactions. Experimentally, <i>in vitro</i> and <i>in vivo</i> studies are carried out to validate the computational predictions, utilizing synthesized Fe₃O₄ nanoparticles and a multiturn coil system to generate alternating magnetic fields (AMF). Each strategy is analyzed to assess the accuracy of computational models in predicting healing effects, along with temperature rise and thermal harm to tumor cells at the same time, while minimizing damage to surrounding healthy tissues. The computational and experimental results give good agreement, and we succeeded in damaging tumor tissue by about 95–99%. The predicted temperature and tumor damage are maximum at the center of the tumor and are minimum as we go away from the center. The efficient heating inside the tumor gives efficient tumor damage. Although not fully, we have succeeded in damaging the maximum fraction of tumor cells. It is estimated that about 99% tumor is damaged.</p>