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Unlock mechanistic and hybrid modeling in biopharma with SGML

The ‘Expert Unfolding’ framework alternative to batchwise unfolding

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.

About the Author

Picture of Lucas Vann and Roy Marsten and Yoram Barak
Lucas Vann and Roy Marsten and Yoram Barak
The SmartFactory Rx Team develops integrated automation solutions for process manufacturing to harness the power of data, reduce development time and improve productivity to optimize high value manufacturing. It increases throughput, decreases risk, and accelerates time to market for new products. For more details, connect with us on LinkedIn.