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International Journal of Pharmaceutics|February 5, 2021
Real-time release testing of dissolution based on surrogate models developed by machine learning algorithms using NIR spectra, compression force and particle size distribution as input dataDorián László Galata, Zsófia Könyves, Brigitta Nagy, et al.Orvosi Hetilap|July 9, 2019
[Physiological and pathophysiological significance of vitamin B<sub>9</sub>. <i>Summary on the occasion of the 30-year introduction of folic acid as a dietary supplement</i>]Sára Zsigrai, Alexandra Kalmár, Gábor Valcz, et al.Pathology Oncology Research : POR|December 31, 2016
Circadian Rhythm of Methylated Septin 9, Cell-Free DNA Amount and Tumor Markers in Colorectal Cancer PatientsKinga Tóth, Árpád V Patai, Alexandra Kalmár, et al.International Journal of Pharmaceutics|July 21, 2017
In-line Raman spectroscopic monitoring and feedback control of a continuous twin-screw pharmaceutical powder blending and tableting processBrigitta Nagy, Attila Farkas, Martin Gyürkés, et al.International Journal of Pharmaceutics|February 22, 2023
Improvement of drug processability in a connected continuous crystallizer system using formulation additiveKornélia Tacsi, György Stoffán, Dorián László Galata, et al.International Journal of Pharmaceutics|February 7, 2026
Ann-assisted UV imaging for non-destructive dissolution prediction of HPMC matrix tabletsOrsolya Péterfi, Lilla Alexandra Mészáros, Bence Szabó-Szőcs, et al.Journal of Controlled Release : Official Journal of the Controlled Release Society|January 25, 2019
Drying technology strategies for colon-targeted oral delivery of biopharmaceuticalsPanna Vass, Balázs Démuth, Edit Hirsch, et al.International Journal of Molecular Sciences|January 25, 2025
Investigation of Exome-Wide Tumor Heterogeneity on Colorectal Tissue-Based Single CellsNikolett Szakállas, Alexandra Kalmár, Barbara Kinga Barták, et al.Pharmaceutics|August 14, 2019
Fast, Spectroscopy-Based Prediction of In Vitro Dissolution Profile of Extended Release Tablets Using Artificial Neural NetworksDorián László Galata, Attila Farkas, Zsófia Könyves, et al.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.Pageof 6