Can Real-World Data Replace Traditional Trial Controls?

The integration of artificial intelligence into clinical research is raising complex questions about methodology and data integrity. Using real-world evidence as a control arm offers a promising way to streamline trials, but it faces significant scrutiny over the risk of patient selection bias. Balancing efficiency with scientific rigor remains a critical challenge for the future of drug development.