A hybrid approach to aqueous solubility prediction using COSMO-RS and machine learning
This study introduces a hybrid method combining the COSMO-RS model with machine learning to predict aqueous solubility at room temperature.
This study introduces a hybrid method combining the COSMO-RS model with machine learning to predict aqueous solubility at room temperature.
Explore peptide crystallization techniques including solvent screening, co-crystallization, and in-silico modelling to overcome scale-up challenges in peptide manufacturing.
Decentralized manufacturing in pharma, driven by ATMPs, is now extending to traditional large & small molecule medicines, transforming development & production.