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Harnessing the potential of machine learning for advancing "Quality by Design" in biomanufacturing.
Walsh, Ian; Myint, Matthew; Nguyen-Khuong, Terry; Ho, Ying Swan; Ng, Say Kong; Lakshmanan, Meiyappan.
Affiliation
  • Walsh I; Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore.
  • Myint M; Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore.
  • Nguyen-Khuong T; Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore.
  • Ho YS; Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore.
  • Ng SK; Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore.
  • Lakshmanan M; Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore.
MAbs ; 14(1): 2013593, 2022.
Article in En | MEDLINE | ID: mdl-35000555
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality Control / Drug Industry / Machine Learning Type of study: Prognostic_studies Language: En Journal: MAbs Journal subject: ALERGIA E IMUNOLOGIA Year: 2022 Document type: Article Affiliation country: Singapore Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Quality Control / Drug Industry / Machine Learning Type of study: Prognostic_studies Language: En Journal: MAbs Journal subject: ALERGIA E IMUNOLOGIA Year: 2022 Document type: Article Affiliation country: Singapore Country of publication: United States