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System and method for the integrated and predicative analysis of molecular, image and clinical data for the patient-specific management of diseases

机译:用于分子,图像和临床数据的综合和预测性分析的系统和方法,用于特定于患者的疾病管理

摘要

A system that operates in a plurality of modes to provide integrated analysis of molecular data, image data, and clinical data associated with a patient includes a multi-scale model, a molecular model, and a linking component. The multi-scale model is configured to generate one or more estimated multi-scale parameters based on the clinical data and the image data when the system is operating in a first mode and to generate a model of organ functionality based on one or more derived multi-scale parameters when the system works in a second mode. The molecular model is designed to generate one or more first molecular results based on a molecular network analysis of the molecular data, the molecular model being constrained by the estimated parameters when the system is operating in the first mode. The linking component, operably coupled to the multiscale model and the molecular model, is designed to transfer the estimated multiscale parameters from the multiscale model to the molecular model when the system is operating in the first mode, and using a machine learning process to derive the derived multiscale parameters based on the molecular Generate results when the system is operating in the second mode.
机译:以多种模式操作以提供与患者相关的分子数据,图像数据和临床数据的集成分析的系统包括多尺度模型,分子模型和链接组件。多尺度模型被配置为当系统以第一模式操作时基于临床数据和图像数据生成一个或多个估计的多尺度参数,并基于一个或多个导出的多尺度模型生成器官功能性模型。系统在第二种模式下工作时,按比例缩放参数。分子模型被设计为基于分子数据的分子网络分析生成一个或多个第一分子结果,当系统以第一模式运行时,该分子模型受到估计参数的约束。链接组件可操作地耦合到多尺度模型和分子模型,旨在在系统以第一模式运行时将估计的多尺度参数从多尺度模型传递到分子模型,并使用机器学习过程来推导该模型。当系统以第二种模式运行时,基于分子生成结果生成多尺度参数。

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