Adaptive designs are innovative approaches used in clinical trials, particularly in cancer research, that allow for modifications to the trial procedures based on interim data analyses. These designs enable researchers to make data-driven decisions during the course of the trial, such as adjusting sample sizes, treatment regimens, or even the allocation of patients to different treatments. This flexibility can lead to more efficient trials and potentially faster delivery of new treatments to patients.
