Amgen had one patents in big data during Q4 2023. Amgen Inc has developed a method for selecting raw materials for column chromatography purification processes. This method involves receiving resin attribute values, predicting performance indicators using a statistical model, and selecting the best resin based on these predictions for use in the purification process. GlobalData’s report on Amgen gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Amgen grant share with big data as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Selecting resins for use in chromatography purification processes (Patent ID: US20230347260A1)
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The patent filed by Amgen Inc. describes a method for selecting raw materials for column chromatography purification processes. The method involves receiving resin attribute values for candidate resins, predicting the performance indicator for each resin using a multivariate statistical model, selecting a resin based on the predicted values, and using the selected resin in the purification process. The prediction of the performance indicator may involve harvest filtrate and purification process parameters as inputs to the model, and the selection process includes comparing predicted values to predetermined thresholds.
Furthermore, the patent includes claims detailing the steps involved in the method, such as receiving resin attribute values, predicting performance indicators, and selecting resins based on the predictions. The claims also cover the use of harvest filtrate and purification process parameters in the prediction process, as well as the application of a projection on latent structures (PLS) regression model. Additionally, the patent describes a system and a non-transitory computer-readable medium that facilitate the implementation of the method by receiving resin attribute values, predicting performance indicators, and displaying results to aid in resin selection for column chromatography purification processes.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
