Adaptive designs work by incorporating pre-specified rules that allow for modifications based on interim data. These rules are established before the trial begins to safeguard against biased decisions. Common adaptations include changes in sample size, treatment arms, and patient selection criteria. For example, a trial might start with multiple doses of a cancer drug and adaptively randomize patients to the dose showing the most promise.