The Process Development Blog

See how CrysAI™ applies deep learning to crystallization and cell imaging—automating segmentation, improving reproducibility, and scaling insight.

We’ve curated a list of key crystallization publications from the past 25 years, showcasing the research and breakthroughs that have defined our approach and expertise. These publications represent the culmination of decades of innovative work by APC’s crystallization experts, illustrating our ongoing impact in this field.

This study introduces a hybrid method combining the COSMO-RS model with machine learning to predict aqueous solubility at room temperature.

Explore these innovative approaches undertaken by APC in addressing the challenges of peptide crystallization .

Michael Jordan is widely regarded as the greatest basketball player of all time. But beyond his athletic prowess, his philosophy offers invaluable lessons for CMC professionals. Discover how the principles that guided MJ’s legendary career can be applied in pharmaceutical manufacturing.

Using data-rich experimentation and mixing models, which leverage CFD, a right-first scale up of the new process was achieved within the yield improvements translating directly back to the plant.

[Webinar] Explore the benefits of applying CFD to better understand your process.

[Webinar] Learn more about the use of Continuous Processing for Crystallization.

APC scientists developed an approach to enantiomeric crystallization process development that combines building a ternary phase diagram with PAT enabled kinetic profiling to unlock the thermodynamic and kinetics insights needed to support ultra-fast process development for these challenging crystallization processes.

Two case studies are presented herein illustrating how thermal cycling can be employed in a batch cooling crystallisation process to transform the undesired plate-like and needle-like morphology into thicker multi-layered plates or rod-like crystalline particles with a narrower size distribution.