Application of data-intelligence algorithms for modeling the compaction performance of new pharmaceutical excipients

Background Pharmaceutical excipient development is an extensive process requiring a series of pre-formulation studies to evaluate their performance. The present study compares the conventional compaction and compression pre-formulation studies with artificial intelligence (AI) modeling to predict th...

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Vydané v:	Future journal of pharmaceutical sciences Ročník 7; číslo 1; s. 31 - 11
Hlavní autori:	Khalid, Garba M., Usman, Abdullahi G.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Berlin/Heidelberg Springer Berlin Heidelberg 28.01.2021 Springer Nature B.V SpringerOpen
Predmet:	Algorithms Artificial intelligence Cellulose Compaction Direct compression Drug dosages Ethanol Excipient Laboratories Medicine Medicine & Public Health Neural networks Particle size Pharmaceutical sciences Regression analysis Tablet England United Kingdom > UK Nigeria India Excipient Tablet Compaction Direct compression Artificial intelligence
ISSN:	2314-7253, 2314-7245, 2314-7253
On-line prístup:	Získať plný text
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