PREDICTIVE MODELING AND CONTROL OF CELL CULTURE

    公开(公告)号:WO2022072198A1

    公开(公告)日:2022-04-07

    申请号:PCT/US2021/051570

    申请日:2021-09-22

    Applicant: AMGEN INC.

    Abstract: A method of controlling a cell culture process includes, for each time interval of one or more time intervals during the cell culture process, obtaining current values of one or more cell culture attributes associated with a cell culture, predicting one or more future values of a particular cell culture attribute associated with the cell culture, and controlling one or more physical inputs to the cell culture process. Predicting the future value(s) includes applying the current values of the cell culture attribute(s), and an earlier value of at least one of the cell culture attributes, as inputs to a data-driven predictive model using historical data. Controlling the physical input(s) includes applying the future value(s) as inputs to a model predictive controller.

    AUTOMATIC CALIBRATION AND AUTOMATIC MAINTENANCE OF RAMAN SPECTROSCOPIC MODELS FOR REAL-TIME PREDICTIONS

    公开(公告)号:WO2020086635A1

    公开(公告)日:2020-04-30

    申请号:PCT/US2019/057513

    申请日:2019-10-23

    Applicant: AMGEN INC.

    Inventor: TULSYAN, Aditya

    Abstract: A method for monitoring and/or controlling a biopharmaceutical process includes determining a query point associated with scanning of the process by a spectroscopy system (e.g., a Raman spectroscopy system), and querying an observation database containing observation data sets associated with past observations of biopharmaceutical processes. Each of the observation data sets includes spectral data and a corresponding actual analytical measurement. Querying the observation database includes selecting as training data, from among the observation data sets, those data sets that satisfy one or more relevancy criteria with respect to the query point. The method also includes using the selected training data to calibrate a local model specific to the biopharmaceutical process. The local model (e.g., a Gaussian process model) is trained to predict analytical measurements based on spectral data inputs. The method also includes using the local model to predict an analytical measurement of the biopharmaceutical process.

Patent Agency Ranking