Application of Artificial Neural Networks in the Process Analytical Technology of Pharmaceutical Manufacturing-a Review.

Nagy, Brigitta; Galata, Dorián László; Farkas, Attila; Nagy, Zsombor Kristóf

Nagy, Brigitta; Galata, Dorián László; Farkas, Attila; Nagy, Zsombor Kristóf.

Afiliação

Nagy B; Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Muegyetem rkp. 3., Budapest, H-1111, Hungary.
Galata DL; Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Muegyetem rkp. 3., Budapest, H-1111, Hungary.
Farkas A; Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Muegyetem rkp. 3., Budapest, H-1111, Hungary.
Nagy ZK; Department of Organic Chemistry and Technology, Faculty of Chemical Technology and Biotechnology, Budapest University of Technology and Economics, Muegyetem rkp. 3., Budapest, H-1111, Hungary. zsknagy@oct.bme.hu.

AAPS J ; 24(4): 74, 2022 06 14.

Article em En | MEDLINE | ID: mdl-35697951

Assuntos

Indústria Farmacêutica; Tecnologia Farmacêutica; Automação; Redes Neurais de Computação; Preparações Farmacêuticas; Tecnologia Farmacêutica/métodos

Palavras-chave

Pharma 4.0; Process Analytical Technology; artificial neural network; machine learning; real-time release testing

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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PubMed Links

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article