United States, Nov. 25 -- SGS and SAS, a global leader in data and AI, have announced a pioneering collaboration to develop an AI-powered agent designed to substantially reduce manual review and enhance code validation in clinical data analysis.Manual review of clinical data analysis, though essential for accuracy, is often time-consuming and costly. While automated tools like Pinnacle21 validate CDISC standards and ensure data consistency, the need for expert manual inspection remains a bottleneck in the process. Recognizing this challenge, SGS and SAS have joined forces to create an innovative solution that leverages Large Language Model (LLM)-based AI agents to streamline code validation.Working with the Statistical Analysis Plan (SAP), ...