Shimadzu had nine patents in artificial intelligence during Q2 2024. Shimadzu Corp’s patent involves an estimation device that predicts the quality of a drug substance in a biopharmaceutical by analyzing measurement data from culturing cells. The prediction model is generated using training data that includes measurement results and quality data obtained from analyzing the drug substance. GlobalData’s report on Shimadzu gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Shimadzu had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Estimation device, learning device, optimization device, estimation method, learning method, and optimization method (Patent ID: US20240120033A1)
The patent filed by Shimadzu Corp. describes an estimation device that generates quality prediction data for a drug substance of a biopharmaceutical manufactured by culturing cells. The device uses a prediction model that is trained using measurement data obtained from a culturing vessel at different timings after seeding the cells in a medium, along with quality data from analyzing the drug substance. The measurement data includes substances measured in different phases of cell growth, such as logarithmic, stationary, and death phases.
The estimation device receives measurement data, applies the prediction model to generate quality prediction data indicating the predicted quality of the drug substance, and outputs this data. The device can provide predicted values based on different perspectives, determine the quality of the drug substance, and take into account culture conditions of the cells. Additionally, the device can communicate with a server to generate the prediction model, which is trained using time series data and quality data to optimize the prediction accuracy. The quality prediction data can be displayed on a screen for easy access and interpretation.
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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.
