de Matas M - Search Results

1

Strategic framework for education and training in Quality by Design (QbD) and process analytical technology (PAT).

de Matas M, De Beer T, Folestad S, Ketolainen J, Lindén H, Lopes JA, Oostra W, Weimer M, Öhrngren P, Rantanen J. de Matas M, et al. Among authors: de beer t. Eur J Pharm Sci. 2016 Jul 30;90:2-7. doi: 10.1016/j.ejps.2016.04.024. Epub 2016 Apr 23. Eur J Pharm Sci. 2016. PMID: 27112991

2

Strategic funding priorities in the pharmaceutical sciences allied to Quality by Design (QbD) and Process Analytical Technology (PAT).

Aksu B, De Beer T, Folestad S, Ketolainen J, Lindén H, Lopes JA, de Matas M, Oostra W, Rantanen J, Weimer M. Aksu B, et al. Among authors: de beer t, de matas m. Eur J Pharm Sci. 2012 Sep 29;47(2):402-5. doi: 10.1016/j.ejps.2012.06.009. Epub 2012 Jun 26. Eur J Pharm Sci. 2012. PMID: 22749874

3

Transfer from high-shear batch to continuous twin screw wet granulation: a case study in understanding the relationship between process parameters and product quality attributes.

Beer P, Wilson D, Huang Z, De Matas M. Beer P, et al. Among authors: de matas m. J Pharm Sci. 2014 Oct;103(10):3075-82. doi: 10.1002/jps.24078. Epub 2014 Jul 8. J Pharm Sci. 2014. PMID: 25044074

4

Influence of pellet aggregate populations on the variability of pellet filling into hard shell capsules: a comparison of experiment and computer simulation.

Ali AM, de Matas M, York P, Rowe RC. Ali AM, et al. Among authors: de matas m. Eur J Pharm Sci. 2009 Oct 8;38(3):197-205. doi: 10.1016/j.ejps.2009.07.001. Epub 2009 Jul 16. Eur J Pharm Sci. 2009. PMID: 19616096

5

Evaluation of in vitro in vivo correlations for dry powder inhaler delivery using artificial neural networks.

de Matas M, Shao Q, Richardson CH, Chrystyn H. de Matas M, et al. Eur J Pharm Sci. 2008 Jan;33(1):80-90. doi: 10.1016/j.ejps.2007.10.001. Epub 2007 Oct 17. Eur J Pharm Sci. 2008. PMID: 18035525 Clinical Trial.

6

Role of pellet size, shape, and filling method in achieving fill weight uniformity for encapsulated pelletized systems: a comparison of experiment and computer simulation.

Ali AM, de Matas M, York P, Rowe RC. Ali AM, et al. Among authors: de matas m. J Pharm Sci. 2010 Mar;99(3):1299-308. doi: 10.1002/jps.21911. J Pharm Sci. 2010. PMID: 19743501

7

Evaluation of an in vitro in vivo correlation for nebulizer delivery using artificial neural networks.

de Matas M, Shao Q, Silkstone VL, Chrystyn H. de Matas M, et al. J Pharm Sci. 2007 Dec;96(12):3293-303. doi: 10.1002/jps.20965. J Pharm Sci. 2007. PMID: 17630647 Clinical Trial.

8

Preparation and Characterization of Stable Nanosuspension for Dissolution Rate Enhancement of Furosemide: A Quality by Design (QbD) Approach.

Marzan AL, Tabassum R, Jahan B, Asif MH, Reza HM, Kazi M, Alshehri SM, de Matas M, Shariare MH. Marzan AL, et al. Among authors: de matas m. Curr Drug Deliv. 2018;15(5):672-685. doi: 10.2174/1567201815666180123094320. Curr Drug Deliv. 2018. PMID: 29359667

9

Characterization of thermal and rheological properties of zidovudine, lamivudine and plasticizer blends with ethyl cellulose to assess their suitability for hot melt extrusion.

Maru SM, de Matas M, Kelly A, Paradkar A. Maru SM, et al. Among authors: de matas m. Eur J Pharm Sci. 2011 Nov 20;44(4):471-8. doi: 10.1016/j.ejps.2011.09.003. Epub 2011 Sep 10. Eur J Pharm Sci. 2011. PMID: 21925600

10

Predicting the clinical effect of a short acting bronchodilator in individual patients using artificial neural networks.

de Matas M, Shao Q, Biddiscombe MF, Meah S, Chrystyn H, Usmani OS. de Matas M, et al. Eur J Pharm Sci. 2010 Dec 23;41(5):707-15. doi: 10.1016/j.ejps.2010.09.018. Epub 2010 Oct 12. Eur J Pharm Sci. 2010. PMID: 20932900

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