Rate Article: Data-Driven Machine Learning Surrogate Models for Predicting Dissolution and Gel Viscosity in Hot-Melt Extruded Polymeric Formulations: A Quality-by-Design Framework
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Rate this Article: Data-Driven Machine Learning Surrogate Models for Predicting Dissolution and Gel Viscosity in Hot-Melt Extruded Polymeric Formulations: A Quality-by-Design Framework

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