International Business Machines had seven patents in 3D printing during Q4 2023. IBM has developed a computer-generated digital twin model for organ transplant or repair, using organ data to identify and simulate organ parts including retained and replacement portions. Parameters such as dimensions are determined for accurate modeling. GlobalData’s report on International Business Machines gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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International Business Machines grant share with 3D printing as a theme is 85% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Digital twin computer simulation using synchronization of body organ for determining compatibility (Patent ID: US20230343465A1)
The patent filed by IBM describes a computer-implemented method for generating a digital twin model or simulation of an organ for transplant or repair. The process involves receiving organ data, identifying organ parts, generating digital twin simulations, and determining parameters for the organ parts. The method includes selecting final models, training models iteratively, and evaluating the final model to meet threshold parameters. It also incorporates receiving data from devices and sensors connected to the patient, assigning unique numbers to models, and utilizing IoT devices for real-time simulations.
Furthermore, the patent outlines a system and computer program product for implementing the method described. The system includes a computer system with a processor and storage medium, while the program product comprises instructions for receiving organ data, generating models, and determining parameters for organ parts. The system and program product also involve functions such as selecting final models, training models iteratively, and receiving data from devices and sensors. Additionally, the system assigns unique numbers to models and utilizes IoT devices for data collection and real-time simulations, showcasing a comprehensive approach to organ transplant and repair simulations.
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