This review shows how mathematical oncology optimizes precision medicine in thermal cancer therapies, suggesting improvements in treatment outcomes.
Mathematical oncology is pivotal in advancing thermal cancer therapies, such as radiofrequency ablation, microwave ablation, and cryoablation, which provide minimally invasive alternatives for patients ineligible for surgical intervention. This review underscores the role of mathematical modeling in optimizing treatment strategies through precise planning, real-time monitoring, and adaptive adjustments. By integrating tumor characteristics, heat distribution, and treatment responses, these models may enhance the efficacy of thermal therapies. Challenges in model validation, clinical integration, and scalability are discussed, alongside future directions that emphasize the development of multi-scale, adaptive models incorporating immunological and pharmacological interactions. Ultimately, mathematical oncology bridges theoretical insights with clinical applications, significantly advancing precision medicine in thermal cancer treatment.
No takes yet. Share an insight, caveat, or question.
A 2025 study studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: