Advanced search
Publication Cover
Drug Development and Industrial Pharmacy Volume 34, 2008 - Issue 4
Submit an article Journal homepage
111
Views
14
CrossRef citations to date
0
Altmetric
Research Article

Optimization and Evaluation of Time-Dependent Tablets Comprising an Immediate and Sustained Release Profile Using Artificial Neural Network

Huijun Xie Institute of Materia Medica, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, P. R. China; Central Research Institute, Shanghai Pharmaceutical (Group) Co. Ltd., Shanghai, P. R. China
,
Yong Gan Institute of Materia Medica, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, P. R. China; Central Research Institute, Shanghai Pharmaceutical (Group) Co. Ltd., Shanghai, P. R. China
,
Suwei Ma Institute of Materia Medica, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, P. R. China; Central Research Institute, Shanghai Pharmaceutical (Group) Co. Ltd., Shanghai, P. R. China
,
Li Gan Institute of Materia Medica, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai, P. R. China
&
Qinghua Chen Shanghai Institute of Pharmaceutical Industry, Shanghai, P. R. China
Pages 363-372 | Published online: 25 Sep 2008

REFERENCES

  • Achanta A.S., Kowalski J. G., Rhodes C. T. Artificial neural networks: Implications for pharmaceutical sciences. Drug Dev. Ind. Pharm. 1995; 21: 119–155
  • Costa F. O., Sousa J. J. S., Pais A. A., Formosinho S. J. Comparison of dissolution profiles of ibuprofen pellets. J. Control. Release 2003; 89: 199–212
  • Dressman J. B., Reppas C. In vitro-in vivo correlations for lipophilic, poorly water-soluble drugs. B.T. Gattefosse 2000; 93: 91–100
  • Ebube N. K., McCall T., Chen Y, Meyer M. C. Relating formulation variables to in vitro dissolution using an artificial neural network. Pharm. Dev. Technol. 1997; 2(3)225–232
  • FD A. Guidance for industry: Dissolution testing of immediate release solid oral dosage forms. FDA, Rockville, MD 1997
  • Gobburu J. V. S., Shelver W. H. Quantitative structure–pharmacokinetic relations (QSPR) of beta blockers derived using neural networks. J. Pharm. Sci. 1995; 84(7)862–865
  • Gobburu J. V. S., Chen E. P. Artificial neural networks as a novel approach to integrated pharmacokinetic–pharmacodynamic analysis. J. Pharm. Sci. 1996; 85(5)505–510
  • Gothoskar A. V., Joshi A. M., Joshi N. H. Pulsatile drug delivery systems: A review. Drug Del. Technol. 2004; 4(5)
  • Khuri I., Conlon M. Simultaneous optimization of multiple responses represented by polynomial regression functions. Technometrics 1981; 23: 363–375
  • Kostwicz E. S., Brauns U., Becker R., Dressman J. B. Forecasting the oral absorption behavior of poorly soluble weak bases using solubility and dissolution studies in biorelevant media. Pharm. Res. 2002; 19(3)345–349
  • Li Y., Rauth A. M., Wu X. Y. Prediction of kinetics of doxorubicin release from sulfopropyl dextran ion-exchange microspheres using artificial neural networks. Eur. J. Pharm. Sci. 2005; 24: 401–410
  • Matsuo M., Arimori K., Nakamura C., Nakano M. Delayed-release tablets using hydroxyethylcellulose as a gel-forming matrix. Int. J. Pharm. 1996; 138: 225–235
  • Moore J. W., Flanner H. H. Mathematical comparison of dissolution profiles. Pharm. Technol. 1996; 20: 64–74
  • Murtoniemi E., Yliruusi J., Kinnunen P., Merkku P., Leiviska K. The advantages by the use of neural networks in modeling the fluidized bed granulation process. Int. J. Pharm. 1994; 108: 155–164
  • NeuroShell 2 Release 4.0 Manual, Ward Systems Group, Inc., Frederick, MD, USA.
  • Nicolaides E., Symillides M., Dressman J. B., Reppas C. Biorelevant dissolution testing to predict the plasma profile of lipophilic drugs after oral administration. Pharm. Res. 2001; 18(3)380–388
  • Parojčić, J., Ibrić, S., Djurić, Z., Jovanovic, M., & Corrigan, O. I. (2006). An investigation into the usefulness of generalized regression neural network analysis in the development of level A in vitro–in vivo correlation. Eur. J. Pharm. Sci., doi:10.1016/j.ejps. 2006.11.010.
  • Schultz P., Kleinebudde P. A new multiparticulate delayed release system. Part I: Dissolution properties and release mechanism. J. Control. Release 1997; 47: 181–189
  • Takahara J., Takayama K., Nagai T. Multi-objective simultaneous optimization technique based on an artificial neural network in sustained release formulations. J. Control. Release 1997; 49(1)11–20
  • Takayama K., Fujikawa M., Obata Y., Morishita M. Neural network based optimization of drug formulations. Adv. Drug Deliv. Rev. 2003; 55: 1217–1231

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.