Harnessing the potential of machine learning for advancing “Quality by Design” in biomanufacturing

Ian Walsha Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), SingaporeCorrespondence[email protected]
View further author information

Matthew Myinta Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), SingaporeView further author information

Terry Nguyen-Khuonga Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), SingaporeView further author information

Ying Swan Hoa Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), SingaporeView further author information

Say Kong Nga Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), SingaporeView further author information

Meiyappan Lakshmanana Bioprocessing Technology Institute, Agency for Science, Technology and Research (A*STAR), Singapore;b Bioinformatics Institute, Agency for Science, Technology and Research (A*STAR), SingaporeCorrespondence[email protected]
View further author information

Harnessing the potential of machine learning for advancing “Quality by Design” in biomanufacturing

Supplemental Material

Information for

Open access

Opportunities

Help and information

Your download is now in progress and you may close this window

Login or register to access this feature

Harnessing the potential of machine learning for advancing “Quality by Design” in biomanufacturing

Supplemental Material

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date