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1. Predicting drug release rate of implantable matrices and better understanding of the underlying mechanisms through experimental design and artificial neural network-based modelling Ernő Benkő, Ilija German Ilić, Katalin Kristó, Géza Regdon, Ildikó Csóka, Klára Pintye-Hódi, Stanko Srčič, Tamás Sovány, 2022, izvirni znanstveni članek Ključne besede: drug–excipient interaction, polymers, non-degradable polymers, matrix tablet, controlled release, design of experiments, artificial neural networks |