Systems and methods for medical device and therapy modeling

By constructing individual-specific digital twin models, integrating multiple data sources, and simulating individual responses, the problem of isolated and fragmented data in the healthcare system is solved, enabling optimized personalized treatment and efficient healthcare.

CN122422945APending Publication Date: 2026-07-17MEDTRONIC INC

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
MEDTRONIC INC
Filing Date
2024-12-23
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing healthcare systems struggle to effectively utilize individual health data to create accurate and comprehensive physiological models, resulting in an inability to provide personalized, optimized treatment plans. Furthermore, the isolation and fragmentation of different data sources and the lack of interoperability increase the challenges of data integration and analysis.

Method used

By constructing individual-specific digital twin models, integrating multiple data sources, and utilizing advanced data aggregation and modeling algorithms, dynamic and multifaceted digital twin models are generated to simulate an individual's response to different stimuli or treatments and optimize treatment parameters.

Benefits of technology

Significant technological advancements have been achieved in personalized medicine, enabling customized care plans for each patient, improving healthcare efficiency, reducing trial-and-error in treatment choices, and improving patient outcomes.

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Abstract

在一个方面,本公开提供了一种系统,该系统包括存储器和处理器。该存储器可以存储一个或多个指令。该处理器可以执行存储在该存储器上的这些指令中的一个或多个指令,以执行一个或多个动作、行动或步骤。例如,该处理器可以基于与个体相关联的个体数据来为该个体构建数字孪生模型。该数字孪生模型可以表示该个体的一个或多个生理或解剖特性。该处理器可以基于两个或更多个虚拟治疗选项对该数字孪生模型的模拟应用来确定用于诊断的个体特定治疗。
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