The evolution of AI in clinical trials has transitioned from promising concepts to practical applications. By integrating AI with human insights, monitoring systems can detect adverse events earlier, aiding quicker medical interventions. Natural language processing optimizes protocol design by analyzing historical trial data and creating personalized patient materials. Predictive analytics play a crucial role in identifying patients most likely to respond to specific treatments. These advancements showcase the potential of AI to revolutionize the clinical trial landscape, enhancing efficiency and patient outcomes.
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