bluebird bio has patented a computer-implemented method for deriving additional features within input data by integrating semantic information. The technique involves processing input data, identifying features, obtaining semantic metadata, processing data with metadata, aggregating elements, and providing the derived elements. GlobalData’s report on bluebird bio gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on bluebird bio, CAR-T cell based therapies was a key innovation area identified from patents. bluebird bio's grant share as of January 2024 was 31%. Grant share is based on the ratio of number of grants to total number of patents.
Deriving additional features from input data using semantic information
A recently granted patent (Publication Number: US11861465B2) outlines a computer-implemented method for deriving additional features within input data by integrating semantic information. The method involves processing input data to identify specific features, obtaining semantic metadata for these features, and processing the data to aggregate elements based on semantic context. The patent details a system that generates new data based on identified features and provides access to this additional data, enhancing the understanding and utilization of input data.
Furthermore, the patent describes a non-transitory computer-readable storage medium with executable instructions that enable the processing of input data to identify subsets corresponding to specific features. The instructions facilitate the generation of new data based on semantic contexts, merging it with existing data for enhanced insights. Additionally, the patent introduces a system comprising processors and memory that store computer-executable instructions to process input data, determine features based on semantic contexts, and provide access to merged data. These innovative methods aim to improve data analysis and utilization by integrating semantic information to derive additional features within input data, showcasing advancements in data processing and interpretation technologies.
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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
