Andrés Hernández-RiveraPablo VelardeAscensión Zafra‐CabezaJ. M. Maestre2026-03-222026-03-22202510.1016/j.jtbi.2025.112255https://doi.org/10.1016/j.jtbi.2025.112255https://andeanlibrary.org/handle/123456789/77766Stochastic Model Predictive Control (SMPC) is an effective decision-making method in applications where uncertainties play a significant role. This work introduces a non-linear formulation of SMPC specifically designed for cancer therapy. The proposed method considers the stochastic nature of tumor growth, non-linear dynamics, and a potential side effect of the treatment. Through one-year simulations, the results showcase the effectiveness of this strategy in controlling drug dosing.enDosingPerspective (graphical)Cancer therapyCancerCancer drugsMedicineIntensive care medicineComputer sciencearticle