Quetiapine Fumarate Extended-release Tablet Formulation Design Using Artificial Neural Networks | Zendy

Esher ÖZÇELİK | Zendy; Burcu Mesut | Zendy; Buket Aksu | Zendy; Yıldız Özsoy | Zendy

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Quetiapine Fumarate Extended-release Tablet Formulation Design Using Artificial Neural Networks

Author(s) -

Esher ÖZÇELİK,

Burcu Mesut,

Buket Aksu,

Yıldız Özsoy

Publication year - 2017

Publication title -

turkish journal of pharmaceutical sciences

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 0.241

H-Index - 14

eISSN - 2148-6247

pISSN - 1304-530X

DOI - 10.4274/tjps.97720

Subject(s) - artificial neural network , scope (computer science) , quality by design , computer science , quetiapine fumarate , immediate release , biochemical engineering , artificial intelligence , engineering , chemistry , chemical engineering , chromatography , particle size , programming language , schizophrenia (object oriented programming) , atypical antipsychotic , antipsychotic

This design study was implemented within the scope of the quality by design approach, which included the "International Conference on Harmonization" guidelines. We evaluated the quality of a modified-release tablet formulation of quetiapine fumarate, which was designed using artificial neural networks (ANN), and determined a new formulation that was similar to the reference product.

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