Validating AI & LLMs in GxP Use Cases for Pharma
AI is already reshaping personalized medicine, clinical trials, pharmacovigilance, and manufacturing—but most pharma and biotech teams are stuck trying to validate AI models with legacy tools built for deterministic software. The result? Slower innovation, unclear audit trails, and compliance headaches. In this expert-led webinar, we’ll share a practical framework for validating AI in GxP-regulated environments so your R&D and data science teams can move faster without sacrificing compliance.
What you'll learn
• A step-by-step framework for AI validation in GxP-regulated environments
• Risk-based approaches to managing AI bias, explainability, and traceability
• Tools and automation strategies to streamline validation and regulatory approval
• How to align AI governance with FDA, EMA, and evolving compliance standards
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