-
公开(公告)号：US20240263875A1
公开(公告)日：2024-08-08
申请号：US18564675
申请日：2022-05-24
Applicant: AMGEN INC.
Inventor： Philippe Lam , Gioval Scalzo , Nitin Rathore
Abstract: A method of lyophilizing a target material includes placing a container with a target material in a lyophilizer of a lyophilization system. The lyophilization system includes the lyophilizer, a refrigeration system coupled to the lyophilizer, a temperature controller coupled to the refrigeration system, and a flow path connecting the lyophilizer and the refrigeration system. The method includes activating the lyophilizer where the lyophilizer includes a plurality of walls defining an interior chamber and at least one shelf disposed in the interior chamber. The method includes running a freezing cycle, running a primary drying cycle, and running a secondary drying cycle. The method includes pumping a thermal fluid through the flow path in fluid communication with the at least one shelf and at least one wall. Running the freezing cycle includes pumping the thermal fluid through the at least one wall of the plurality of walls.
-
公开(公告)号：US12224045B2
公开(公告)日：2025-02-11
申请号：US17638395
申请日：2020-08-25
Applicant: AMGEN INC.
Inventor： Cindy Ren , Mohan B. Boggara , Nitin Rathore , Behnam Partopour
Abstract: In a method for predicting a property of potential protein formulations, a set of formulation descriptors is classified as belonging to a specific one of a plurality of predetermined groups that each correspond to a different value range for a protein formulation property. Classifying the set of descriptors includes applying at least a first portion of the set of descriptors as inputs to a first machine learning model. The method also includes selecting, based on the classification, a second machine learning model from among multiple models corresponding to different groups. The method also includes predicting a value of the protein formulation property that corresponds to the set of descriptors, by applying at least a second portion of the set of formulation descriptors as inputs to the selected model. The method further includes causing the value of the protein formulation property to be displayed to a user and/or stored in a memory.
-
公开(公告)号：US20220293223A1
公开(公告)日：2022-09-15
申请号：US17638395
申请日：2020-08-25
Applicant: AMGEN INC.
Inventor： Cindy Ren , Mohan B. Boggara , Nitin Rathore , Behnam Partopour
Abstract: In a method for predicting a property of potential protein formulations, a set of formulation descriptors is classified as belonging to a specific one of a plurality of predetermined groups that each correspond to a different value range for a protein formulation property. Classifying the set of descriptors includes applying at least a first portion of the set of descriptors as inputs to a first machine learning model. The method also includes selecting, based on the classification, a second machine learning model from among multiple models corresponding to different groups. The method also includes predicting a value of the protein formulation property that corresponds to the set of descriptors, by applying at least a second portion of the set of formulation descriptors as inputs to the selected model. The method further includes causing the value of the protein formulation property to be displayed to a user and/or stored in a memory.
