Seegene. has been granted a patent for a method and device that accurately determines the presence of a target analyte in a sample. The method utilizes a sigmoid function and fitting accuracy (R² value) to minimize false positive results during analysis. GlobalData’s report on Seegene 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 Seegene, AI-assisted drug screening was a key innovation area identified from patents. Seegene's grant share as of July 2024 was 30%. Grant share is based on the ratio of number of grants to total number of patents.
Method for accurate target analyte detection in samples
The granted patent US12018318B2 outlines a method for analyzing a target analyte in a sample, focusing on the use of a data set derived from a signal-generating reaction. The process involves obtaining a data set that includes cycle numbers and signal values, followed by amending this data set. A sigmoid function is then generated from the amended data set, and the fitting accuracy of this function is determined using the R-square value. The presence or absence of the target analyte is assessed by comparing this R-square value against a predetermined threshold. The method allows for additional parameters, such as data displacement and maximum slope, to be utilized in the determination process.
The patent further specifies that the target analyte can be a nucleic acid molecule, with the signal-generating reaction potentially amplifying the signal value. The method includes steps for normalizing the data set and can accommodate multiple signal-generating reactions conducted in varying environments. Notably, the method allows for the detection of multiple target nucleic acid sequences from a single reaction vessel, utilizing different signal-generating means at varying detection temperatures. The patent also describes the use of a computer-readable medium containing instructions to automate the analysis process, ensuring a systematic approach to determining the presence of target analytes in samples.
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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.
