Application of a kNN-based similarity method to biopharmaceutical manufacturing.
batch similarity
kNN
process evaluation
quality investigation
Journal
Biotechnology progress
ISSN: 1520-6033
Titre abrégé: Biotechnol Prog
Pays: United States
ID NLM: 8506292
Informations de publication
Date de publication:
03 2020
03 2020
Historique:
received:
09
09
2019
revised:
25
10
2019
accepted:
26
11
2019
pubmed:
8
12
2019
medline:
8
6
2021
entrez:
8
12
2019
Statut:
ppublish
Résumé
Machine learning-based similarity analysis is commonly found in many artificial intelligence applications like the one utilized in e-commerce and digital marketing. In this study, a kNN-based (k-nearest neighbors) similarity method is proposed for rapid biopharmaceutical process diagnosis and process performance monitoring. Our proposed application measures the spatial distance between batches, identifies the most similar historical batches, and ranks them in order of similarity. The proposed method considers the similarity in both multivariate and univariate feature spaces and measures batch deviations to a benchmarking batch. The feasibility and effectiveness of the proposed method are tested on a drug manufacturing process at Biogen.
Substances chimiques
Biological Products
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e2945Subventions
Organisme : Dr Rohin Mhatre and Dr Steve Doares
Pays : International
Informations de copyright
© 2019 American Institute of Chemical Engineers.
Références
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