Clinical trial reporting is the bedrock of evidence-based oncology, yet it’s riddled with inefficiencies, mismatched data, and underreported adverse events. In this episode, Dr. Danielle Bitterman of Mass General Brigham joins unNatural Selection to discuss how her team is using AI to clean up the clinical data pipeline—automating the extraction of outcomes, improving the accuracy of adverse event tracking, and scaling trial infrastructure without compromising safety. We explore how artificial intelligence is not just a tool for speed, but a mechanism for survival in a world where better data leads to better treatments.