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Multivariate Data Analysis for Biotechnology and Bio-processing

Multivariate data analysis (MVA) and Design of Experiments (DoE) are advanced analysis techniques which enable biotech organizations to improve their data analysis and optimize operations across the product lifecycle. MVA and DoE are used in applications such as raw material assessment, analysis of clinical trial results, understanding and controlling fermentation processes, and improving quality control.

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OTHER WHITEPAPERS

Using Clinical Breakpoints to Improve Antimicrobial Resistance Detection

whitePaper | December 13, 2022

Define the ongoing pandemic of antimicrobial resistance. Discuss how we can address the ongoing pandemicin the Clinical Microbiology Laboratory

BIOTECHNOLOGY UPDATE

whitePaper | April 24, 2022

The Global Forum on Biotechnology, established in 2010, is one of 15 Global Fora created by OECD Committees. Global Fora are not official OECD bodiesbut are best described as broad.

A Cornerstone in the Supply Chain of Cell-based Therapies

whitePaper | February 15, 2023

The diverse therapeutic attributes of mesenchymal stromal cells (MSCs) lend to their rapid development as cellular therapeutics. These unique attributes include potent immu nomodulatory properties [1,2], the potential to differentiate into multiple cell lineages.

Producing therapeutic peptides using biotechnology

whitePaper | October 20, 2022

We began the project by working to the design of a recombinant bacterial strain selection of a strain capable of producing high concentrations of peptides.

Preparing Biologics for Commercialization

whitePaper | December 14, 2022

Within the drug development process, there are several steps that occur between the laboratory and final manufacture of the drug product.

Considerations for migrating a drug product presentation from vial to pre-filled syringe

whitePaper | December 9, 2022

There is an upward trend for pharmaceutical companies to ask their contract development and manufacturing organisations (CDMO).