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Journal: Pharmaceutics, 2022
Volume: 14
Number: 228

Article: Predicting Drug Release Rate of Implantable Matrices and Better Understanding of the Underlying Mechanisms through Experimental Design and Artificial Neural Network-Based Modelling
Authors: by Ernő Benkő, Ilija German Ilič, Katalin Kristó, Géza Regdon, Jr., Ildikó Csóka, Klára Pintye-Hódi, Stane Srčič and Tamás Sovány
Link: https://www.mdpi.com/1999-4923/14/2/228

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