首页|Researchers from Bioproc Technology Institute Report New Studies and Findings in the Area of Machine Learning (Antibody Glycan Quality Predicted From Cho Cell C ulture Media Markers and Machine Learning)
Researchers from Bioproc Technology Institute Report New Studies and Findings in the Area of Machine Learning (Antibody Glycan Quality Predicted From Cho Cell C ulture Media Markers and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingout of Singapore, Singapore, by New sRx editors, research stated, “N-glycosylation can have a profoundeffect on the quality of mAb therapeutics. In biomanufacturing, one of the ways to influence N-glycosylationpatterns is by altering the media used to grow mAb cell expressi on systems.”Funders for this research include Agency for Science Technology & Research (A*STAR), NationalMedical Research Council, Singapore.
SingaporeSingaporeAsiaAntibodiesBlood ProteinsCHO CellsCell LineCell ResearchCyborgsEmerging Technolog iesImmunoglobulinsImmunologyMachine LearningProteinsBioproc Technology Institute
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