AI/ML technologies are revolutionizing pharmaceutical formulation by optimizing excipient selection and predicting stability, reducing time and resources needed for development. Poor solubility of ...

Transfer learning can help biopharmaceutical developers to leverage historical data to guide the development of new manufacturing processes.

Predictive modeling facilitates the identification of coformers, cocrystal components, and complexing agents. Poor water solubility continues to present a major challenge to formulators. Poor ...

The healthcare industry continues to find itself in an entanglement with continuous risks. Handling these risks implies the applicability of highly accurate predictive technologies that promise ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Infinite dilution activity coefficient is a key thermodynamic parameter in solvent design for chemical processes. Although ...