Dated: Jun 05, 2023
Publication Name: Bioengineering and Biotechnology
Citations : Next-generation cell line selection methodology leveraging data lakes, natural language generation and advanced data analytics
Cell line development is an essential stage in biopharmaceutical development that often lies on the critical path. Failure to fully characterise the lead clone during initial screening can lead to lengthy project delays during scale-up, which can potentially compromise commercial manufacturing success. In this study, we propose a novel cell line development methodology, referenced as CLD4, which involves four steps enabling autonomous data-driven selection of the lead clone.
Contributors: Stephen Goldrick, Haneen Alosert, Clare Lovelady, Nicholas J. Bond, Tarik Senussi, Diane Hatton, John Klein, Matthew Cheeks, Richard Turner, James Savery, Suzanne S. Farid