F. Hoffmann-La Roche had 15 patents in digitalization during Q1 2024. The patents filed by F. Hoffmann-La Roche Ltd in Q1 2024 include methods and systems for indexing whole slide images, tracking adverse events in patients, and therapies for treating pathological conditions like cancer. Additionally, there is a method for detecting defects in pharmaceutical product containers using querying images and machine learning models. 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 digitalization as a theme is 40% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Whole slide image search (Patent ID: US20240086460A1)
The patent filed by F. Hoffmann-La Roche Ltd. describes a computer-implemented method for whole slide image search. The method involves indexing a dataset of whole slide images to generate embeddings for regions of the images, accessing a query image, generating an embedding for the query image, comparing it to dataset embeddings to identify result tiles, and displaying the results in a user interface. The system uses feature vectors to map images to a feature embedding space and distances between embeddings for comparison.
The method includes features such as identifying result tiles based on distances in the feature embedding space, allowing user input to mark and weight results, generating object filters, and updating the interface accordingly. It also involves indexing whole slide images, receiving user inputs for relevance feedback, computing average embeddings for relevant results, and displaying metadata and information about sources of images. The system can also identify features in query images across multiple result tiles and display reports on the identified locations. Overall, the patent outlines a comprehensive method and system for efficient whole slide image search using embeddings and user interactions.
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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.
