Adaptive clinical trials use pre-specified rules to make real-time adjustments based on accumulating data. For example, if early results show that a particular treatment is highly effective or has unacceptable side effects, the trial can be modified accordingly. These adaptations can include:
Dose adjustment based on patient response Changing the sample size to ensure statistical power Enriching the study population by selecting specific biomarkers Dropping ineffective treatment arms
