Amgen Inc.
DATA-DRIVEN PREDICTIVE MODELING FOR CELL LINE SELECTION IN BIOPHARMACEUTICAL PRODUCTION

Abstract:

A method for facilitating selection of cell lines to advance to a next stage of cell line screening includes receiving first attribute values for the candidate cell lines measured using an opto-electronic cell line generation and analysis system, and acquiring second attribute values that include one or more attribute values measured at a cell pool screening stage of the candidate cell lines. The method also includes determining a ranking of the candidate cell lines according to a product quality attribute associated with hypothetical small-scale screening cultures. Determining the ranking includes predicting, for each of the candidate cell lines, a value of the product quality attribute by analyzing the first and second plurality of attribute values using a machine learning based regression estimator, and comparing the predicted values. The method also includes causing an indication of the ranking to be presented to a user via a user interface.