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Mohammad Salehian

Showing results (1-10 of 6) with videos related to

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International Journal of Pharmaceutics|August 20, 2025
Spatially-resolved quantification of erosion and swelling of tablets in a paddle dissolution apparatus with integrated optical coherence tomographyHannah Jesney, Natalie Maclean, Mohammad Salehian, et al.
International Journal of Pharmaceutics|July 17, 2024
Empirical Model Variability: Developing a new global optimisation approach to populate compression and compaction mixture rulesTheo Tait, Mohammad Salehian, Magdalini Aroniada, et al.
International Journal of Pharmaceutics|April 5, 2024
Flexible modelling of the dissolution performance of directly compressed tabletsNatalie Maclean, John A Armstrong, Mark A Carroll, et al.
International Journal of Pharmaceutics|May 1, 2026
Predicting the viability of pharmaceutical formulations for continuous direct compression using machine learning approachesLaura Pereira Diaz, Stéphanie Marchal, Paul Kroll, et al.
International Journal of Pharmaceutics: X|November 25, 2024
A hybrid system of mixture models for the prediction of particle size and shape, density, and flowability of pharmaceutical powder blendsMohammad Salehian, Jonathan Moores, Jonathan Goldie, et al.
Nature Communications|April 1, 2026
Accelerated drug development using a digital formulator and a self-driving tableting data factoryFaisal Abbas, Mohammad Salehian, Peter Hou, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
International Journal of Pharmaceutics|August 20, 2025
Spatially-resolved quantification of erosion and swelling of tablets in a paddle dissolution apparatus with integrated optical coherence tomographyHannah Jesney, Natalie Maclean, Mohammad Salehian, et al.
International Journal of Pharmaceutics|July 17, 2024
Empirical Model Variability: Developing a new global optimisation approach to populate compression and compaction mixture rulesTheo Tait, Mohammad Salehian, Magdalini Aroniada, et al.
International Journal of Pharmaceutics|April 5, 2024
Flexible modelling of the dissolution performance of directly compressed tabletsNatalie Maclean, John A Armstrong, Mark A Carroll, et al.
International Journal of Pharmaceutics|May 1, 2026
Predicting the viability of pharmaceutical formulations for continuous direct compression using machine learning approachesLaura Pereira Diaz, Stéphanie Marchal, Paul Kroll, et al.
International Journal of Pharmaceutics: X|November 25, 2024
A hybrid system of mixture models for the prediction of particle size and shape, density, and flowability of pharmaceutical powder blendsMohammad Salehian, Jonathan Moores, Jonathan Goldie, et al.
Nature Communications|April 1, 2026
Accelerated drug development using a digital formulator and a self-driving tableting data factoryFaisal Abbas, Mohammad Salehian, Peter Hou, et al.
Pageof 1