Kambayashi A - Search Results

1

Importance of Gastric Secretion and the Rapid Gastric Emptying of Ingested Water along the Lesser Curvature ("Magenstraße") in Predicting the In Vivo Performance of Liquid Oral Dosage Forms in the Fed State Using a Modeling and Simulation.

Kiyota T, Kambayashi A, Takagi T, Yamashita S. Kiyota T, et al. Among authors: kambayashi a. Mol Pharm. 2022 Feb 7;19(2):642-653. doi: 10.1021/acs.molpharmaceut.1c00778. Epub 2022 Jan 25. Mol Pharm. 2022. PMID: 35075899

2

An in vitro-in silico-in vivo approach to predicting the oral pharmacokinetic profile of salts of weak acids: case example dantrolene.

Kambayashi A, Dressman JB. Kambayashi A, et al. Eur J Pharm Biopharm. 2013 May;84(1):200-7. doi: 10.1016/j.ejpb.2012.12.001. Epub 2012 Dec 20. Eur J Pharm Biopharm. 2013. PMID: 23262163

3

Understanding the in vivo performance of enteric coated tablets using an in vitro-in silico-in vivo approach: case example diclofenac.

Kambayashi A, Blume H, Dressman J. Kambayashi A, et al. Eur J Pharm Biopharm. 2013 Nov;85(3 Pt B):1337-47. doi: 10.1016/j.ejpb.2013.09.009. Epub 2013 Sep 18. Eur J Pharm Biopharm. 2013. PMID: 24056057

4

Predicting the oral pharmacokinetic profiles of multiple-unit (pellet) dosage forms using a modeling and simulation approach coupled with biorelevant dissolution testing: case example diclofenac sodium.

Kambayashi A, Blume H, Dressman JB. Kambayashi A, et al. Eur J Pharm Biopharm. 2014 Jul;87(2):236-43. doi: 10.1016/j.ejpb.2014.01.007. Epub 2014 Jan 23. Eur J Pharm Biopharm. 2014. PMID: 24462791

5

Prediction of the precipitation profiles of weak base drugs in the small intestine using a simplified transfer ("dumping") model coupled with in silico modeling and simulation approach.

Kambayashi A, Yasuji T, Dressman JB. Kambayashi A, et al. Eur J Pharm Biopharm. 2016 Jun;103:95-103. doi: 10.1016/j.ejpb.2016.03.020. Epub 2016 Mar 21. Eur J Pharm Biopharm. 2016. PMID: 27012902

6

Forecasting gastrointestinal precipitation and oral pharmacokinetics of dantrolene in dogs using an in vitro precipitation testing coupled with in silico modeling and simulation.

Kambayashi A, Dressman JB. Kambayashi A, et al. Eur J Pharm Biopharm. 2017 Oct;119:107-113. doi: 10.1016/j.ejpb.2017.06.012. Epub 2017 Jun 13. Eur J Pharm Biopharm. 2017. PMID: 28619610

7

Predicting the Changes in Oral Absorption of Weak Base Drugs Under Elevated Gastric pH Using an In Vitro-In Silico-In Vivo Approach: Case Examples-Dipyridamole, Prasugrel, and Nelfinavir.

Kambayashi A, Dressman JB. Kambayashi A, et al. J Pharm Sci. 2019 Jan;108(1):584-591. doi: 10.1016/j.xphs.2018.11.008. Epub 2018 Nov 10. J Pharm Sci. 2019. PMID: 30423339

8

PBPK modeling coupled with biorelevant dissolution to forecast the oral performance of amorphous solid dispersion formulations.

Kambayashi A, Kiyota T, Fujiwara M, Dressman JB. Kambayashi A, et al. Eur J Pharm Sci. 2019 Jul 1;135:83-90. doi: 10.1016/j.ejps.2019.05.013. Epub 2019 May 22. Eur J Pharm Sci. 2019. PMID: 31125680

9

A novel in vivo predictive dissolution testing coupled with a modeling and simulation for hydrogel matrix monolithic extended release oral dosage forms.

Kambayashi A, Dressman JB. Kambayashi A, et al. Eur J Pharm Sci. 2019 Oct 1;138:105044. doi: 10.1016/j.ejps.2019.105044. Epub 2019 Aug 14. Eur J Pharm Sci. 2019. PMID: 31421255

10

Effects of Diurnal Variation and Food on Gastrointestinal Transit of ¹¹¹In-Labeled Hydrogel Matrix Extended-Release Tablets and ^99mTc-Labeled Pellets in Humans.

Kambayashi A, Sako K, Kondo H. Kambayashi A, et al. J Pharm Sci. 2020 Feb;109(2):1020-1025. doi: 10.1016/j.xphs.2019.09.025. Epub 2019 Oct 7. J Pharm Sci. 2020. PMID: 31600549

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