Biogen. has filed a patent for systems and methods to classify brain lesions based on single-point imaging. The method involves accessing patient image data, inputting it into a brain lesion classification model, generating classifications for identified lesions, and displaying them. The model is trained using subject image data captured at multiple points in time. GlobalData’s report on Biogen 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 Biogen, Personalized cancer vaccines was a key innovation area identified from patents. Biogen's grant share as of January 2024 was 42%. Grant share is based on the ratio of number of grants to total number of patents.
Classification of brain lesions based on single point imaging
A patent application (Publication Number: US20240037748A1) discloses a method and system for classifying brain lesions based on single-point imaging data. The method involves accessing patient image data from a single point in time, inputting it into a brain lesion classification model, generating classifications for identified lesions, and displaying the results. The model is trained using image data from multiple time points for various subjects, with no need for contrast agents. The system includes a memory storing instructions and a processor executing the process for lesion classification, ensuring accurate and efficient results.
Furthermore, the method includes extracting patches representing brain lesions, identifying relevant biomarkers for classification, and segmenting patches based on inclusion criteria. The system re-samples image data to a common domain, corrects biases, and normalizes data for consistency. Additionally, the model is trained using synthetic data representing lesion-free tissue, enhancing its predictive capabilities. Another aspect of the patent application involves training a machine-learning model for lesion classification, utilizing training data from multiple time points and correlating biomarkers with lesion classifications. Overall, the invention aims to improve the accuracy and efficiency of brain lesion classification based on single-point imaging data, offering potential benefits for medical professionals in diagnosing and monitoring brain health.
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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
