Novel modeling methodology to predict product quality and cell culture performance in fed-batch and perfusion cultures
May 6-11, 2018
The acceleration of biopharmaceutical process development is difficult when traditional experience-based sequential approaches are used. As a result, fully optimized and well understood cell culture processes prior to scale-up are rare. Here we show that an accurate, scalable and simple model able to predict cell growth, cell metabolism, titer and some product quality attributes will significantly accelerate process development, improve process development outcomes and reduce development and production costs.
Please click Additional Files below to see the full abstract.
Bassem Ben Yahia, Boris Gourevitch, Elmar Heinzle, and Laetitia Malphettes, "Novel modeling methodology to predict product quality and cell culture performance in fed-batch and perfusion cultures" in "Cell Culture Engineering XVI", A. Robinson, PhD, Tulane University R. Venkat, PhD, MedImmune E. Schaefer, ScD, J&J Janssen Eds, ECI Symposium Series, (2018). https://dc.engconfintl.org/ccexvi/207