公开(公告)号：US12182482B2

公开(公告)日：2024-12-31

申请号：US16620940

申请日：2018-06-18

Applicant: Cytiva Sweden AB

Inventor： Krishna Kumar Swaminathan ,  Sridhar Dasaratha ,  Sittal George ,  Vinay Bhaskar Jammu ,  Alok Singh Chauhan ,  Nagaraju Konduru ,  Neelima Boddapati ,  Ankita Bhatia ,  Mithilesh Mohanty ,  Harsha Aeron ,  Andreas Castan

IPC: G06F30/20

Abstract: The present invention relates to a method for predicting outcome of a process used for manufacturing a sample in a bioreactor, the process belonging to a category. The method comprises selecting (51) a process model based on the category; accessing (53) historic data related to past process runs for manufacturing the sample; accessing (53) current data obtained (54) from a current process run of the process. The obtained current data, which is based on the selected process model, comprises: process strategy data, bioreactor instrument data, data from online sensors and/or data from offline sensors. The method further comprises predicting (62) an outcome of at least one selected parameter of the current process run for manufacturing the sample based on the accessed historic data and current data. The present invention also relates to a method for modelling a process and a control system (10) for controlling a process.

公开(公告)号：US20250068794A1

公开(公告)日：2025-02-27

申请号：US18948020

申请日：2024-11-14

Applicant: Cytiva Sweden AB

Inventor： Krishna Kumar Swaminathan ,  Sridhar Dasaratha ,  Sittal George ,  Vinay Bhaskar Jammu ,  Alok Singh Chauhan ,  Nagaraju Konduru ,  Neelima Boddapati ,  Ankita Bhatia ,  Mithilesh Mohanty ,  Harsha Aeron ,  Andreas Castan

IPC: G06F30/20

Abstract: A method for predicting outcome of a process used for manufacturing a sample in a bioreactor, the process belonging to a category. The method comprises selecting a process model based on the category; accessing historic data related to past process runs for manufacturing the sample; accessing current data obtained from a current process run of the process. The obtained current data, which is based on the selected process model, comprises: process strategy data, bioreactor instrument data, data from online sensors and/or data from offline sensors. The method further comprises predicting an outcome of at least one selected parameter of the current process run for manufacturing the sample based on the accessed historic data and current data.