Tempus Labs has patented a system allowing clinicians to analyze de-identified patient data to predict treatment responses. The method involves selecting health information criteria, identifying relevant data, and generating visualizations for user interface interaction. This innovative approach aids in efficient data evaluation for potential therapeutic insights. GlobalData’s report on Tempus Labs 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 Tempus Labs, Personalized treatment planning was a key innovation area identified from patents. Tempus Labs's grant share as of January 2024 was 22%. Grant share is based on the ratio of number of grants to total number of patents.
Method for user to select health information cohort visually
A recently granted patent (Publication Number: US11875903B2) outlines a method for allowing users to select a cohort of health information through a user interface displaying filter criteria such as modality data, demographic data, and more. The method involves identifying health information from various sources that meet the selected criteria, aggregating this information into a database table, and generating visualizations of data completeness measures for the cohort of subjects. Users can then filter the cohort based on these visualizations and access subject data from the subset of subjects. The patent also includes provisions for data comparison measures between different health information sources, saving and sharing cohorts, and displaying data summary measures based on selected criteria.
Furthermore, the patent describes a cohort selection system that includes processors and memory with instructions to carry out the method. It details the process of determining data completeness measures between different cohorts of subjects associated with various health information sources, aggregating this information into a database table, generating visualizations for user interaction, and providing subject data from the selected subset. The system also allows for comparisons between different health information sources, saving and sharing cohorts, and displaying data summary measures. Overall, the patent aims to streamline the selection and analysis of health information cohorts, making it easier for users to access and utilize relevant data for research, analysis, and decision-making in the healthcare field.
To know more about GlobalData’s detailed insights on Tempus Labs, buy the report here.
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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.
