Health care is shifting towards personalized, precise, and patient-focused care, and this approach is needed in clinical trials as well. Adaptive clinical trials, which use data to make real-time adjustments throughout the trial, have shown benefits such as expedited access to new therapies, reduced exposure to ineffective treatments, enhanced patient safety, and improved understanding of drug effects. Some successful examples of adaptive trials include I-SPY 2 for breast cancer and the BATTLE Trial for lung cancer. While adaptive trials come with challenges, advancements in technology, like machine learning, can simplify the process. Regulatory agencies, including the FDA, provide guidance for adaptive trial designs to facilitate the approval process for new treatments.
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Adaptive trial designs will increase speed, safety, and effectiveness
