Machine Learning to Optimize Product Quality Measurement

Researchers have used machine learning and two experimental designs to optimize a common critical quality attribute of biological therapies.

Eliza Yeung, PhD, associate director of process characterization at contract manufacturer Cytovance Biologics, and another researcher relied on statistical software to create two experimental designs to analyze glycosylation, a critical quality attribute of therapeutic glycoproteins. The study was published in the BioProcessing Journal last October.

Source: https://www.genengnews.com/news/machine-learning-to-optimize-product-quality-measurement/