ESTAN: A User-Friendly Toolbox for Improving Model Estimability and Predictive Performance
ESTAN is a user‑friendly modelling toolbox developed by Loughborough University in collaboration with CMAC’s Digital Manufacturing Research Centre. It simplifies complex sensitivity and estimability analyses, helping users build mathematical models and digital twins with stronger predictive performance.
Digital Pharmaceutical Process Design: Faster, Cost Effective and Sustainable Delivery of Quality Drug Substance
Through digital-first process design, CMAC researchers decrease the material required for API development by an order of magnitude.
From Lab to Clinical Development: CMAC’s Impurity Rejection Workflow
Researchers at Eli Lilly & Company have successfully applied CMAC’s impurity rejection workflow in clinical development, achieving up to 100% rejection of problematic impurities.