VVUQ Physical AI Oncology Trial Bill

The VVUQ Physical AI Oncology Trial Bill (H.R. 9510) is a proposed United States law requiring an automated verification, validation, and uncertainty quantification (VVUQ) process to clear robot-patient interaction code before that code is generated or executed in a Physical AI oncology clinical trial. Its thesis is rigor over the code itself: verification ahead of generation is the patient-safety and efficacy control, and repository-based AI models synthesise VVUQ code generation and execution into public, reproducible documents that accelerate legislation. Two author studies show large language models are appropriate for code verification: with the verification fraction held at exactly 1.0 across 51 of 51 tests; the other proves practical VVUQ generation and execution against fourteen external standards and two clinical baselines, with 172 of 172 tests passing. Second, a national platform supplies the Unification and Physical AI Standard Levels and five trial, sponsor, and mobile simulations that make the robot-patient case concrete. Third, the bill binds these to current federal and state law. Codifying verification before generation ensures the United States is first in oncology clinical trial safety.