F. Hoffmann-La Roche had two patents in mobile during Q1 2024. The patent filed by F. Hoffmann-La Roche Ltd in Q1 2024 describes a computer-implemented method for predicting postprandial blood glucose levels. The method involves extracting a subset of medical data from a patient’s overall data, removing duplicates, outliers, incomplete data, and identifying patterns. This extracted data is then used as input for a blood glucose level prediction model to forecast future blood glucose levels for the patient. GlobalData’s report on F. Hoffmann-La Roche gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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F. Hoffmann-La Roche grant share with mobile as a theme is 50% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Method and means for postprandial blood glucose level prediction (Patent ID: US20240033419A1)
The patent filed by F. Hoffmann-La Roche Ltd. describes a computer-implemented method for predicting blood glucose levels, specifically postprandial blood glucose level prediction. The method involves receiving a first medical data set of a patient, extracting a second medical data set from the first set by removing duplicates, data above or below predefined thresholds, data differing from expected values, incomplete data, and time-dependent data patterns. The extracted data is then used as input for a blood glucose level prediction model to predict future blood glucose levels based on the patient's medical data.
The claims associated with the patent detail various aspects of the method, including the inclusion of other medical data such as meal intakes, insulin injections, and medication. The method involves statistical analysis to determine threshold values, training the prediction model with the extracted data, and displaying predictions to patients for insulin dosage recommendations. The patent also covers a computing system and a glucose monitoring system for implementing the method, including controlling insulin pumps based on predicted glucose levels. Overall, the patent outlines a comprehensive approach to predicting blood glucose levels using patient data and advanced modeling techniques for improved diabetes management.
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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.
