AI facilitates pediatric research by enabling the rapid analysis of large datasets, which can lead to new insights and discoveries. Machine learning algorithms can identify potential biomarkers for diseases, predict treatment outcomes, and even suggest new therapeutic targets. This accelerates the development of new drugs and therapies tailored specifically for children. AI also aids in the design and analysis of clinical trials, making it easier to recruit participants and monitor results.