In the rapidly evolving landscape of pharmaceutical manufacturing, the combination of foundational engineering principles and cutting-edge digital tools is essential for success. This workshop demonstrates the importance of both, offering a comprehensive exploration of how modern chemical engineering is accelerating the journey from lab-scale discovery to robust commercial production.
Part 1: Engineering Fundamentals for Robust Scale-Up and Sustainability
The first session will demonstrate the core chemical engineering principles that underpin successful pharmaceutical process development. Understanding reaction kinetics, transport phenomena, and unit operations is critical for predictable and efficient outcomes.
Attendees will gain practical insights into:
• Successful Process Scale-Up: Translating laboratory procedures into reliable, large-scale production while maintaining product quality and consistency.
• Process Intensification: Developing more efficient, smaller, and safer manufacturing processes that reduce footprint and cost.
• Sustainable Manufacturing: Applying engineering science to improve yields, minimize waste, and create greener, more sustainable pharmaceutical production cycles.
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Part 2: Physics-Informed Machine Learning for Rapid Optimization
The second part of the workshop addresses a common industry challenge: how to quickly optimize complex and time sensitive processes where traditional approaches are too slow, costly, or simply intractable.
We will introduce Physics-Informed Machine Learning (PIML) as a powerful solution. Combining the predictive power of modern ML with fundamental kinetics enables realistic process predictions with significantly less experimental data. This session will showcase how this approach can be used to:
• Rapidly model sensitive, time-dependent reactions that are difficult to model with traditional approaches.
• Identify optimal process parameters by combining kinetics, Gaussian Process modelling and Bayesian Optimization.
• De-risk process development by exploring a wider operational space virtually, empowering chemists and engineers to make better decisions, faster.
