In Silico Formulation Application of Artificial Intelligence in Support of Hard Gelatin Capsule Formulation of Biopharmaceutics Classification System Class II Drugs

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" In Silico Formulation Application of Artificial Intelligence in Support of Hard Gelatin Capsule Formulation of Biopharmaceutics Classification System Class II Drugs "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150202
Doc. No	:	ET21994
Main Entry	:	Wendy I. Wilson
Title Proper	:	In Silico Formulation Application of Artificial Intelligence in Support of Hard Gelatin Capsule Formulation of Biopharmaceutics Classification System Class II Drugs
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Guo et a1 have demonstrated that a prototype hybrid expert network (PEN) forcapsule formulation is capable of yielding formulations that meet specificmanufacturing and performance criteria for the model BiopharmaceuticsClassification System (BCS) Class II drug piroxicam (Pharm Tech NA (26:9)2002, p. 44). Purpose The overall objective of this project is to assess theapplication of artificial intelligence in capsule formulation support of BCSClass II drugs. The phases of this project include: 12 Characterize modelBCS Class II drugs based on physiochemical properties associated with.,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL45190.pdf
Title and statement of responsibility and	:	In Silico Formulation Application of Artificial Intelligence in Support of Hard Gelatin Capsule Formulation of Biopharmaceutics Classification System Class II Drugs [Thesis]