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

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dc.contributor.authorKalra, Gunjan
dc.contributor.authorPeng, Yun
dc.contributor.authorGuo, Mintong
dc.contributor.authorAugsburger, Larry L.
dc.date.accessioned2018-12-19T17:33:37Z
dc.date.available2018-12-19T17:33:37Z
dc.date.issued2002-11-18
dc.descriptionProceedings of the 9th International Conference on Neural Information Processingen_US
dc.description.abstractIn 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.en_US
dc.description.sponsorshipThis work is supported in part by a gift from Pfizer’s Cap-sugel Division.en_US
dc.description.urihttps://ieeexplore.ieee.org/document/1199021en_US
dc.format.extent5 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/m2dh4k-o6no
dc.identifier.citationGunjan Kalra, Yun Peng, Mintong Guo, and Larry L. Augsburger, A hybrid intelligent system for formulation of BCS Class II drugs in hard gelatin capsules, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02. , DOI: 10.1109/ICONIP.2002.1199021en_US
dc.identifier.uri10.1109/ICONIP.2002.1199021
dc.identifier.urihttp://hdl.handle.net/11603/12313
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rights© 2002 IEEE
dc.subjectexpert systemsen_US
dc.subjectmedical computingen_US
dc.subjectneural netsen_US
dc.subjectpharmaceutical industryen_US
dc.subjectdrug deliveryen_US
dc.subjectmanufacturingen_US
dc.subjectneural networksen_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleA hybrid intelligent system for formulation of BCS Class II drugs in hard gelatin capsulesen_US
dc.typeTexten_US

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