Eliminating PAT Deployment Bottlenecks: Seamlessly Transitioning from Lab to Manufacturing

Presented by

• Luc Nguyen, Global Head of PAT
• Ramila Peiris, Global Head of Process Data Management, Machine Learning, & AI Platform MSAT at Sanofi
• Maryann Cuellar, Endress+Hauser Optical Analysis
• Michael Sachpekidis, SciY

About this talk

Process Analytical Technology (PAT) delivers real‑time monitoring, deeper process insight, higher product quality, and faster development and technology transfer. Yet, its full potential is unlocked only when industrial systems and data infrastructure are engineered to support scalable, reliable PAT at the manufacturing floor.

The session focuses on building robust data pipelines, mandating seamless lab‑to‑shopfloor transitions, and instituting data‑integrity checks that satisfy regulatory mandates. It stresses that a GMP‑ready PAT deployment is inherently multidisciplinary, uniting R&D CMC, MSAT, Quality Control, Quality, Regulatory, Operations, Engineering, Maintenance, and Data Science.

We’ll explore how to create a continuous PAT lifecycle from R&D CMC to commercial products, dive into standardized architectures, demonstrate PAT data and model‑management platforms, and outline validated workflows that align with GMP requirements. Practical strategies for sustainable PAT adoption and accelerated digital transformation in biopharma manufacturing will be highlighted.

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