Simulation in pharma: accelerate drug development from lab to production

Pharmaceutical manufacturers face mounting pressure to reduce time-to-market while maintaining quality and process robustness. This white paper explains how simulation-driven Digital Twin strategies help pharmaceutical teams make faster, more confident decisions across formulation, process design, scale-up and operations.

What you'll learn:

Scale-up from lab to commercial production introduces physicochemical changes that are costly and difficult to predict through physical trials alone. Traditional process design methods no longer keep pace with today's development timelines. Formulation decisions carry high risk. Physical testing consumes time and materials. Knowledge transfer from development to manufacturing remains a persistent barrier.

This white paper shows how simulation tools address these challenges. You will learn how computational methods spanning molecular chemistry, fluid dynamics, particle behavior and structural analysis enable teams to test virtually, reduce physical trials and improve scale-up decisions.

Real-world outcomes include:

• 50% reduction in bioreactor blend time through CFD-optimized impeller design
• $1 million in annual savings from DEM-driven hopper optimization
• 12% yield improvement through multiphase bioreactor simulation

This white paper details practical applications across drug substance and drug product development, including formulation stability prediction, bioreactor scale-up, powder blending, tablet coating and equipment optimization. Whether you lead drug substance or drug product teams, this resource provides a framework for building more efficient, robust development processes.

Download and gain insights into:

• How molecular-level simulation predicts formulation stability and viscosity risks
• How CFD reveals mixing, oxygen transfer and scale-up behavior in bioreactors
• How particle simulation improves powder flow, blending uniformity and tablet quality
• How co-simulation connects detailed physics with process-scale models for faster decisions
• How AI-powered Digital Twins integrate simulation across the pharmaceutical value chain

Get the white paper now.