Deep learning and metaheuristic optimization for predicting drug release from nanocarrier systems: a data-driven framework for formulation development
Drug-release profiles from nanocarrier systems are governed by nonlinear and multiphasic physicochemical interactions that are difficult to predict using conventional kinetic models. This study presents a data-driven predictive framework that integrates deep neural networks (DNNs) with three bio-inspired metaheuristi...