Tools which derive from the section of artificial intelligence increasingly expand into the pharmaceutical industry. Especially machine learning and it’s subsection deep learning are of interest for development purposes where a lot of data are available. In this project a deep learning model was developed to address challenges within Formulation Development. Performance prediction of amorphous solid dispersions served as a case study, demonstrating the opportunities and limitations of the model and its application.
Please note that this will be a remote presentation