Full Title: How to Utilize Design of Experiments (DoE) Principles for the Development of High Throughput, Robust Methods for the Assessment of Product Quality Being able to generate accurate and precise analytical data to provide information on product quality in a timely manner is a great challenge facing analytical groups. By adopting a Design of Experiments (DoE) approach, we can overcome many hurdles facing the implementation and adoption of these high-throughput methods with the data generated being of comparable quality to that from longer lot release methods. Presented by Jeremy Springall PhD, Scientist I, Analytical Sciences, MedImmune, A member of the AstraZeneca Group Jeremy Springall has worked in the Analytical Sciences group, part of the Bioprocess development department, at MedImmune for the past four years. His responsibilities include assess new technologies and work processes to support early and late stage development assets as well as being a CMC team member on several non-mAb projects currently in the MedImmune development pipeline. Previous roles include In-process analytical development scientist at UCB and analytical development scientist at Patheon, both in the UK. He holds a Ph.D. in bioorganic and medicinal chemistry and a BSc in chemistry from the University of Bath, UK.

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    Organizations have been managing security based on assumptions, hopes and best guesses for decades. We assume our technology will detect, block and send alerts, we hope our incident response techniques will be efficient and effective when under assault, and we (...)
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