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Johny Bertels

Showing results (1-10 of 7) with videos related to

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International Journal of Pharmaceutics|October 29, 2025
A multitask modelling framework for tablet manufacturability and quality attributes in direct compression using knowledge-guided neural networksManuel Borja, Jens Dhondt, Johny Bertels, et al.
International Journal of Pharmaceutics|December 6, 2024
Modelling the effect of base component properties and processing conditions on mixture products using probabilistic, knowledge-guided neural networksManuel Borja, Jens Dhondt, Johny Bertels, et al.
International Journal of Pharmaceutics|May 8, 2022
A multivariate methodology for material sparing characterization and blend design in drug product developmentJens Dhondt, Yasmine Eeckhout, Johny Bertels, et al.
International Journal of Pharmaceutics|June 28, 2022
A multivariate formulation and process development platform for direct compressionJens Dhondt, Johny Bertels, Ashish Kumar, et al.
International Journal of Pharmaceutics|October 19, 2019
Prediction of tablet weight variability in continuous manufacturingSonia M Razavi, James Scicolone, Ronald D Snee, et al.
International Journal of Pharmaceutics|August 18, 2018
A multivariate raw material property database to facilitate drug product development and enable in-silico design of pharmaceutical dry powder processesBernd Van Snick, Jens Dhondt, Kenny Pandelaere, et al.
Journal of Pharmaceutical Sciences|June 13, 2016
Lubricant-Induced Crystallization of Itraconazole From Tablets Made of Electrospun Amorphous Solid DispersionBalázs Démuth, Attila Farkas, Attila Balogh, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
International Journal of Pharmaceutics|October 29, 2025
A multitask modelling framework for tablet manufacturability and quality attributes in direct compression using knowledge-guided neural networksManuel Borja, Jens Dhondt, Johny Bertels, et al.
International Journal of Pharmaceutics|December 6, 2024
Modelling the effect of base component properties and processing conditions on mixture products using probabilistic, knowledge-guided neural networksManuel Borja, Jens Dhondt, Johny Bertels, et al.
International Journal of Pharmaceutics|May 8, 2022
A multivariate methodology for material sparing characterization and blend design in drug product developmentJens Dhondt, Yasmine Eeckhout, Johny Bertels, et al.
International Journal of Pharmaceutics|June 28, 2022
A multivariate formulation and process development platform for direct compressionJens Dhondt, Johny Bertels, Ashish Kumar, et al.
International Journal of Pharmaceutics|October 19, 2019
Prediction of tablet weight variability in continuous manufacturingSonia M Razavi, James Scicolone, Ronald D Snee, et al.
International Journal of Pharmaceutics|August 18, 2018
A multivariate raw material property database to facilitate drug product development and enable in-silico design of pharmaceutical dry powder processesBernd Van Snick, Jens Dhondt, Kenny Pandelaere, et al.
Journal of Pharmaceutical Sciences|June 13, 2016
Lubricant-Induced Crystallization of Itraconazole From Tablets Made of Electrospun Amorphous Solid DispersionBalázs Démuth, Attila Farkas, Attila Balogh, et al.
Pageof 1