bluebird bio has been granted a patent for a computer-implemented method that derives additional features from input data by integrating semantic information. The technique involves processing input data, identifying features, obtaining semantic metadata, processing the data with the metadata, and providing access to the new data. 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 February 2024 was 92%. 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 also covers the provision of these derived elements as associated with specific parameters, enhancing the overall data processing capabilities.
Furthermore, the patent extends to a non-transitory computer-readable storage medium containing executable instructions for integrating semantic information within input data. These instructions enable the processing of input data to identify subsets corresponding to specific features, generate new data based on semantic context, and provide access to this additional data. The patent also includes provisions for heuristically determining metadata, utilizing machine learning algorithms for data processing, and determining features based on predefined policies. Additionally, a system is described in the patent that includes processors and memory storing computer-executable instructions for deriving additional features within input data, further emphasizing the integration of semantic information to enhance data processing capabilities.
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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
