Search results for " modeling"
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				Setting Up Bioprocessing Systems for Digital Transformation
								“When the organization has confirmed that assets are working as expected, it can begin to implement more advanced modeling focused on the unit operation level. This layer focuses more on specific piec…								
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				Robust Optimization, Simulation, and Effective Design Space
								Jul 01, 2015 
	By Thomas A. Little, PhD 
	
	BioPharm International 
	
	Volume 28, Issue 7, pg 40–44 
	
	Approaches to the generation of process models, optimization techniques, and application of …								
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				Putting Viral Clearance Capabilities to the Test
								
	Process understanding and careful assessment of risks are essential in developing viral clearance programs. 
	
	  
	
	By Rita C. Peters 
	
	  
	
	 
	nobeastsofierce/Shutterstock.com 
	
	
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				Impact of Manufacturing-Scale Freeze-Thaw Conditions on a mAb Solution
								
	The objective of this study was to assess the impact of manufacturing-scale, freeze-thaw conditions on aggregation and subvisible particle formation of a monoclonal antibody solution (mAb-A; IgG1) u…								
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				Essentials in Establishing and Using Design Space
								Knowledge of product or process acceptance criterion is crucial in design space.  
	
	
		Design space is generally considered to be the areas where the product or process parameters can be run safe…								
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				Reimagining Affordable Biosimilars
								Exponential advances in new technologies and computing such as mathematical modeling of pharmacokinetics (PK) and pharmacodynamics (PD), organ-on-a-chip platforms, in-silico algorithms, and transgenic…								
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				Combining Microbioreactors and Advanced Statistical Techniques to Optimize a Platform Process for a New Host-Cell Line
								
	Use of a subspace model is a viable method to characterize process space variables and optimize process performance. 
	By Colin Jaques, Daniela Lega 
	Over the past decade, two improved capabili…								
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				Tools for Continuous Bioprocessing Development
								
	Could perfusion microbioreactors bring more agility to biomanufacturing?
	
	By Rajeev J. Ram
	In semiconductor manufacturing, for example, a thorough understanding of process variation allows co…								
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				Use of Multivariate Data Analysis in Bioprocessing
								Subsequently, data are analyzed by employing different data reduction approaches such as principle component analysis (PCA) and partial least squares (PLS) regression for analysis and modeling of the …								
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				Determining Criticality–Process Parameters and Quality Attributes Part III: Process Control Strategies—Criticality throughout the Lifecycle
								
	The author applies the continuum of criticality to develop the process control strategy and move through Stages 2 and 3 of the new process validation lifecycle. 
	
	
	
With the most recent FDA …