Cancer remains one of the leading causes of death worldwide. This study examines two widely used mathematical models for predicting tumor growth: the exponential growth model and the logistic growth model. The exponential model captures the early phase of unchecked, rapid tumor expansion, whereas the logistic model accounts for biological constraints, offering a more accurate simulation of tumor development over time. Selecting the appropriate model can enhance researchers' and clinicians' ability to predict tumor progression, enabling more tailored and effective treatment strategies for patients.
