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In the context of data integrity, data flows are essential. The FDA, PIC/S, and WHO have all emphasized the importance and benefits of data flows in their guidance on data integrity. The key to data integrity compliance is a well-functioning data governance system1
We will show how continuous, real-time capturing of data with immediate data analysis by an ML algorithm can improve control over a critical quality attribute. The ML-analyzed data provides the evidence for validation of the change by demonstrating more control over the process along with a decrease in process risks.
North Carolina’s Research Triangle is the largest of its kind in the US. Thanks to years of effort from industry, pharmaceutical professionals, and education institutions, it is synonymous with pharmaceutical and biotechnology excellence.