What is the Role of Sigmoidal Modeling in Predicting Treatment Outcomes?
Sigmoidal modeling is used to predict the outcomes of cancer treatments by analyzing the relationship between drug dose and tumor response. By fitting experimental data to a sigmoidal curve, researchers can estimate the effective dose required to achieve a desired therapeutic effect. This helps in optimizing treatment regimens and minimizing side effects.
