Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6487258 | Current Opinion in Biotechnology | 2018 | 7 Pages |
Abstract
This review paper provides an overview of the current state of an overall integrated control strategy for upstream and downstream processing and highlights the investments that could be pursued to achieve the future state of a quantitative virus risk assessment for a range of viruses. One potential approach to address these gaps is the use of data mining from large, comprehensive and diverse data sets to establish heuristic rules for virus detection, clearance and inactivation followed by specific hypothesis-driven experiments for cases that fall outside of the normal paradigm. Once this approach reaches a mature state suitable for implementation, there is an opportunity to update regulatory guidance (e.g. ICH Q5A) accordingly.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Bioengineering
Authors
David J Roush,