Shenzhen Mindray Bio-Medical Electronics has filed a patent for systems and methods using ultrasound imaging to predict a disease state in a subject. The technology involves comparing quantitative measurements to predetermined standards to determine a final value indicative of the subject’s health condition. GlobalData’s report on Shenzhen Mindray Bio-Medical Electronics 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 Shenzhen Mindray Bio-Medical Electronics, AI-assisted ultrasonography was a key innovation area identified from patents. Shenzhen Mindray Bio-Medical Electronics's grant share as of January 2024 was 37%. Grant share is based on the ratio of number of grants to total number of patents.

Predicting disease state using ultrasound imaging and ancillary information

Source: United States Patent and Trademark Office (USPTO). Credit: Shenzhen Mindray Bio-Medical Electronics Co Ltd

A patent application (Publication Number: US20240023938A1) describes a method and system for predicting the presence or progression of a disease state in a subject using ultrasound imaging. The method involves identifying qualitative measurements of the subject through ultrasound imaging, comparing these measurements to predetermined standards, and correlating them with previous disease measurements to determine a final value for disease prediction. The system includes processors and computer-readable storage medium with instructions to perform these operations, along with utilizing other imaging modalities and machine-learning algorithms for accurate predictions.

Furthermore, the method and system outlined in the patent application allow for the use of various ultrasound techniques such as contrast-enhanced ultrasound, photo-acoustic imaging, and acoustic radiation force impulse imaging to gather qualitative and quantitative measurements. Additionally, measurements from core biopsies, blood pressure, metabolic rate, and genetic screening can be incorporated into the prediction process. The system also enables the use of raw data and machine-learning algorithms like decision tree learning and artificial neural networks to enhance the accuracy of disease state predictions. Overall, the patent application presents a comprehensive approach to leveraging ultrasound imaging and ancillary information for effective disease prediction in subjects, showcasing the potential for advanced diagnostic tools in healthcare.

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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