Amgen had ten patents in artificial intelligence during Q2 2024. Amgen Inc has developed a method to improve multivariate model performance by obtaining a first data set, generating a second data set, and removing outliers using both univariate and multivariate statistical techniques. This process results in the creation of a more accurate second multivariate model. GlobalData’s report on Amgen gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Amgen had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Automated outlier removal for multivariate modeling (Patent ID: US20240202586A1)
The patent filed by Amgen Inc. describes a method for enhancing the performance of multivariate models by obtaining a first dataset with features and labels, generating a second dataset by removing outliers using statistical techniques, and creating multivariate models. The process involves removing outliers using univariate and multivariate statistical techniques, such as Hotelling's T2 statistics and DModX values, to improve model accuracy. The method includes using partial least squares models and updating them to generate more accurate multivariate models for real-time monitoring, inference, and prediction.
The claims in the patent detail the steps involved in the method, including outlier removal based on predetermined percentile ranges, the use of specific statistical techniques like Hotelling's T2 statistics and DModX values, and the application of partial least squares models. The patent also covers the storage of instructions on computer-readable media to execute the method, enabling real-time monitoring, inference, and prediction using the multivariate models. Overall, the patent outlines a comprehensive approach to improving multivariate model performance through outlier removal and model generation techniques.
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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.
