Predicting oral disintegrating tablet formulations by neural network techniques-Reference-Cited by-同舟云学术

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Predicting oral disintegrating tablet formulations by neural network techniques

Published:2018-07 Issue:4 Volume:13 Page:336-342
ISSN:1818-0876
Container-title:Asian Journal of Pharmaceutical Sciences
language:en
Short-container-title:Asian Journal of Pharmaceutical Sciences

Author:

Han Run,Yang Yilong^ORCID,Li Xiaoshan,Ouyang Defang

Funder

University of Macau Research

Macau Science and Technology Development Fund

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Pharmaceutical Science,Pharmacology

Reference29 articles.

1. Fast dissolving tablet: an overview;Bhowmik;J Chem Pharm Res,2009

2. Orodispersible tablets: an overview;Bandari;Asian J Pharm,2014

3. Dysphagia: prevalence of swallowing complaints and clinical finding;Lindgren;Med Clin North Am,1993

4. Formulation of fast disintegrating tablets;Dutta;Int J Drug Formul Res,2011

5. Orally fast disintegrating tablets: developments, technologies, taste-masking and clinical studies;Fu;Crit Rev Ther Drug Carrier Syst,2004

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