Posted in Chimica Oggi – Chemistry Today on 2025

Abstract

A peer-reviewed study demonstrates how scientists used SuntheticsML to unlock new insights in spray freeze drying (SFD) and dynamic lyophilization — two critical processes in developing stable, high-quality pharmaceutical products. Using Bayesian Optimization, researchers modeled over 80 experimental runs, visualized relationships between inputs and outputs, and predicted the most efficient drying conditions. The platform allowed them to analyze and clean their data, build predictive models in just hours, and generate new experimental designs automatically.

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Stamato, H.J.; Luy, B.; Plitzko, M.; et al. "Artificial Intelligence (AI) Driven Machine Learning Modeling for Process Characterization of Dynamic Freeze Drying (Lyophilization) After Spray Freezing." Chimica Oggi – Chemistry Today, Vol. 43, 2025.

_{Note: URL links to Sunthetics blog summary. Full publication available in Chimica Oggi Vol. 43, 2025.}

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