NDLI: A hybrid intelligent system for formulation of BCS Class II drugs in hard gelatin capsules

Content Provider	IEEE Xplore Digital Library
Author	Kalra, G. Yun Peng Mintong Guo Augsburger, L.L.
Copyright Year	2002
Description	Author affiliation: Lab. of Adv. Inf. Technol., Univ. of Maryland Baltimore County, MD, USA (Kalra, G.; Yun Peng)
Abstract	In this paper, we describe a hybrid intelligent system for formulation of BCS Class II drugs in hard gelatin capsules. Several significant challenges are involved in drug-formulation: the active ingredients and the fillers in the capsule must be chemically compatible according to bio-pharmaceutical principles; the formulation must be manufacturable; and it must meet the prescribed drug release requirement. Traditional trial and error approach to drug-formulation design is too costly and time consuming to meet the increasing demand for new drugs. To answer these challenges, we have developed a prototype hybrid intelligent system for automatic drug formulation. This system consists of a rule-based Expert System (ES) that conducts formulation design according to Biopharmaceutical Classification of drugs and a neural network (NN) that predicts the quality of the formulation recommended by ES. Through interaction between the two modules, the hybrid system forms a (re) formulation-prediction cycle, and the quality of the formulation is improved with each iteration. The hybrid system is tested with sample drugs and is shown to be able to produce formulations with desirable performance measures.
Sponsorship	Asia-Pacific Neural Network Assembly Singapore Neuroscience Assoc. SEAL & FSKD Conference Steering Committees IEEE Neural Networks Soc. Int. Neural Network Soc. Eur. Neural Network Soc. SPIE
Starting Page	1987
Ending Page	1991
File Size	379704
Page Count	5
File Format	PDF
ISBN	9810475241
DOI	10.1109/ICONIP.2002.1199021
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-11-18
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Nanyang Technological University
Subject Keyword	Hybrid intelligent systems Neural networks Expert systems Chemicals Pharmaceuticals Drug delivery Manufacturing Filling Laboratories Information technology
Content Type	Text
Resource Type	Article

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A hybrid intelligent system for formulation of bcs class ii drugs in hard gelatin capsules.

A HYBRID INTELLIGENT SYSTEM FOR FORMULATION OF BCS CLASS II DRUGS IN HARD GELATIN CAPSULES

Generalization of a prototype intelligent hybrid system for hard gelatin capsule formulation development

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