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Moderna and Merck's mRNA-4157 vaccine uses a cloud-based AI pipeline to create personalized cancer treatments, reducing recurrence risk by 49%. The FDA treats the AI software as part of the drug, marking a significant integration of technology in oncology.
This paper proposes MONIR, a Modalized-Output Normative Intermediate Representation that bridges LLM-assisted norm extraction and ASP-based compliance reasoning for technical standards. The framework is instantiated on Chinese ADAS regulations, combining symbolic reasoning with LLM pipelines for explainable compliance checking.