Blackstone‘s patent involves a computer-implemented method to identify DNA matches and visualize relationships with common ancestors. By concatenating family trees and genealogical records, the system generates a map of visual connections between the target individual and the DNA match. GlobalData’s report on Blackstone 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 Blackstone, Customized implants was a key innovation area identified from patents. Blackstone's grant share as of January 2024 was 56%. Grant share is based on the ratio of number of grants to total number of patents.
Dna match relationship prediction and visualization method
A recently granted patent (Publication Number: US11887697B2) outlines a computer-implemented method that involves identifying a DNA match of a target individual and establishing a linkage between the DNA match and the target individual within a network of individuals. This network is created by combining various family trees of different individuals, with the process including retrieving genealogical records, generating confidence scores for record matches, and assigning user identifiers. The method also includes displaying a predicted relationship between the DNA match and the target individual on a graphical user interface, allowing for the visualization of connections between the individuals through branches connecting them to potential common ancestors.
Furthermore, the patent describes a system that implements this method, comprising a computing server and a graphical user interface. The system is capable of identifying DNA matches, establishing linkages within the network of individuals, and displaying visual connections between individuals based on their genealogical relationships. The graphical user interface allows for user interaction, such as selecting DNA matches and expanding the displayed map to include additional descendants of common ancestors. Additionally, the system incorporates machine learning models to determine potential matches between individuals from different family trees, enabling the merging of nodes and the concatenation of family trees to enhance the network of individuals.
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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.
