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International Journal of Pharmaceutics|January 20, 2023
Interpretable artificial neural networks for retrospective QbD of pharmaceutical tablet manufacturing based on a pilot-scale developmental datasetBrigitta Nagy, Ágnes Szabados-Nacsa, Gergő Fülöp, et al.
International Journal of Pharmaceutics|May 31, 2023
Convolutional neural network-based evaluation of chemical maps obtained by fast Raman imaging for prediction of tablet dissolution profilesDorián László Galata, Boldizsár Zsiros, Gábor Knyihár, et al.
Journal of Neuroscience Research|May 18, 2005
Hyperosmotic mannitol induces Src kinase-dependent phosphorylation of beta-catenin in cerebral endothelial cellsAttila Farkas, Erzsébet Szatmári, Anna Orbók, et al.
Journal of Pharmaceutical Sciences|February 20, 2014
Plasticized drug-loaded melt electrospun polymer mats: characterization, thermal degradation, and release kineticsAttila Balogh, Gábor Drávavölgyi, Kornél Faragó, et al.
Probiotics and Antimicrobial Proteins|January 6, 2026
Screening the γ-core Motif Peptides of Ascomycetous Antifungal Proteins for Antifungal Activity and Potential Therapeutic ApplicabilityJohn K Karemera, Györgyi Váradi, Gábor Bende, et al.
Pharmaceutics|November 25, 2020
Process Design of Continuous Powder Blending Using Residence Time Distribution and Feeding ModelsMartin Gyürkés, Lajos Madarász, Ákos Köte, et al.
Journal of Pharmaceutical and Biomedical Analysis|January 24, 2021
Continuous blending monitored and feedback controlled by machine vision-based PAT toolDorián László Galata, Lilla Alexandra Mészáros, Máté Ficzere, et al.
International Journal of Pharmaceutics|March 16, 2020
Videometric mass flow control: A new method for real-time measurement and feedback control of powder micro-feeding based on image analysisLajos Madarász, Ákos Köte, Martin Gyürkés, et al.
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