Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/12311
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dc.contributor.authorPatel, Dhruvil N-
dc.contributor.authorDakhane, Hariti A-
dc.contributor.authorVasava, Hirenbhai V-
dc.contributor.authorShah, Iraja V-
dc.contributor.authorThakka, Janvi M-
dc.date.accessioned2024-07-26T05:35:28Z-
dc.date.available2024-07-26T05:35:28Z-
dc.date.issued2024-05-
dc.identifier.urihttp://10.1.7.192:80/jspui/handle/123456789/12311-
dc.description.abstractIn the formulation and manufacture of pharmaceuticals, the creation is pursued in the application of multivariate modelling methods designed with the creation of these intricate solid dosage forms in mind. The paper investigates a range of multivariate modelling techniques for predicting dissolution profiles and optimising formulation compositions, such as factorial and mixed designs. It also looks at more contemporary developments, such as the incorporation of artificial intelligence to improve predictive modelling and optimise production procedures. It demonstrates the usefulness and practical use of these strategies through case studies. In the end, the review emphasises how important multivariate modelling is for improving pharmaceutical production methods and handling formulation difficulties. Multi-layer tablets—especially bi- and tri-layer tablets—presents special potential and challenges. This review delves into the new directions being.en_US
dc.publisherInstitute of Pharmacy, Nirma University, A'baden_US
dc.relation.ispartofseriesPPR01120;-
dc.subjectB. Pharm Project Reporten_US
dc.subjectPharmaceuticsen_US
dc.subject20BPH027en_US
dc.subject20BPH035en_US
dc.subject20BPH044en_US
dc.subject20BPH046en_US
dc.subject20BPH048en_US
dc.titleEmerging Trends in Development of Multivariate Models in Solid Dosage Forms: A Reviewen_US
dc.typeProject Reporten_US
Appears in Collections:B. Pharm Project Reports

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