Tuesday March 10Tuesday, 10 March 2026 - PT (Pacific Time, GMT-08:00)

Digital twins are revolutionizing manufacturing by creating virtual replicas of processes, enabling rapid scenario testing, de-risking tech transfer, and accelerating scale-up. This session will feature case studies on how advanced analytics and hybrid models (mechanistic + AI/ML) are driving more efficient process development, reducing variability, and lowering costs. Discussion will include regulatory perspectives and cross-functional adoption strategies.

• Digital Twin integrates data, models, and process understanding from development through GMP manufacturing.
• Transitioning from post-run analysis to live predictive monitoring and control closes the loop between insight and action.
• Robust data integrity, model validation, and lifecycle management enable regulatory readiness and trust.
• Building model literacy and cross-functional collaboration across R&D, MSAT, QA, and Operations to ensure sustainable technology adoption and culture alignment.