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Unlock mechanistic and hybrid modeling in biopharma with SGML

The ‘Expert Unfolding’ framework alternative to batchwise unfolding
Hybrid Modeling

In the world of biopharma manufacturing, batchwise unfolding techniques are commonly used to develop batch process models. However, one main drawback of batch process models is their purely data driven nature which requires a high number of batches to yield accurate predictions. Taking advantage of data integration and advanced modeling with AI/ML, we present the new ‘Expert Unfolding’ approach.

Read the white paper to learn how process understanding can unlock the use of mechanistic and hybrid modeling in a Science Guided Machine Learning (SGML) method for enhancing process development, quality control, and increasing yield.

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