Thursday 18th September - Main Conference Day ThreeThursday, 18 September 2025 - ET (Eastern Time, GMT-05:00)

This session will delve into the complex regulatory landscape surrounding the use of Artificial Intelligence (AI) and Machine Learning (ML) in the development, manufacturing, and quality control of biologics. Experts will discuss evolving guidelines from regulatory agencies, including best practices for validating AI/ML models, ensuring data integrity, and demonstrating the reliability and transparency of AI/ML-driven decisions, panelists will deliver strategies, improvements in processes, and lower costs of operations through the proper application of the data. Key focus areas include strategies for generating trust and confidence in AI/ML-based analytics for regulatory submissions and maintaining compliance throughout the product lifecycle with specific actionable strategies

Traditional QC methods often cause bottlenecks due to their slowness, labor intensity, and variability. This session explores cutting-edge automation solutions, high-throughput analytics, and real-time release testing (RTRT) designed to dramatically enhance efficiency and data integrity in biopharmaceutical QC, streamline workflows, and accelerate testing. As gene and cell therapies move to commercial manufacturing, you'll learn how to scale QC processes, ensure assay transferability, and maintain data integrity across production sites. The session will cover implementing RTRT and high-throughput analytics, strategies for harmonizing QC across multiple manufacturing locations, and the rise of plug-and-play analytical tools. Attendees will gain actionable insights for optimizing QC operations, improving process control, ensuring compliance, and reducing risk during commercial expansion. Learn about next-gen QC strategies that increase efficiency, improve consistency, and ensure regulatory compliance while reducing product release bottlenecks.