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1. 发明申请

US20050079511A1 Drug model explorer 审中-公开
标题翻译：药物模型探险家
公开(公告)号：US20050079511A1
公开(公告)日：2005-04-14
申请号：US10773767
申请日：2004-02-06
申请人： Jacob Mandema , Michael Schwartz , Timothy Sheiner , Jean-Max Vally
发明人： Jacob Mandema , Michael Schwartz , Timothy Sheiner , Jean-Max Vally
IPC分类号： G06F19/00 , C12Q1/68 , G01N33/48 , G01N33/50
CPC分类号： G16H50/50 , G06F19/3456 , G16H10/20 , G16H40/63
摘要： Computer systems and methods facilitate exploring results of drug candidate modeling. In one embodiment, the software is configured to receive raw data simulated by a probabilistic model of clinical safety, tolerability, and efficacy of a drug candidate. Index information is extracted from the raw data and then referenced to generate a metadata file, the structure of the metadata file explicitly reflecting a hierarchical structure of the model. The metadata file is in turn used to convert the raw data into a binary file, the metadata file explicitly identifying locations within the binary file, of treatment scenario information types and output performance information types. The metadata file is also referenced to generate an interface configured to receive inputs from a non-expert audience, and in turn present relevant subsets of the binary file in a limited number of plot and tabular formats. By standardizing presentation and manipulation of data from different models, software and methods in accordance with the present invention facilitate meaningful interaction between a non-expert audience, and the complex abstract mathematical models predicting drug behavior. The heightened audience-model interaction afforded by the present invention in turn promotes uniform and consistent evaluation of modeled data in the process of drug development.
摘要翻译：计算机系统和方法有助于探索药物候选建模的结果。在一个实施例中，软件被配置为接收由药物候选者的临床安全性，耐受性和功效的概率模型模拟的原始数据。从原始数据中提取索引信息，然后引用生成元数据文件，元数据文件的结构明确地反映模型的层次结构。元数据文件又用于将原始数据转换为二进制文件，元数据文件明确地标识二进制文件中的位置，处理方案信息类型和输出性能信息类型。还引用元数据文件来生成被配置为从非专家观众接收输入的接口，并且依次以有限数量的情节和表格格式呈现二进制文件的相关子集。通过标准化来自不同模型的数据的呈现和操纵，根据本发明的软件和方法促进非专家观众之间的有意义的交互，以及预测药物行为的复杂抽象数学模型。本发明提供的观众模式相互联系越来越强大地对药物开发过程中的建模数据进行了统一和一致的评估。

2. 发明申请

US20060161354A1 Drug model explorer 审中-公开
标题翻译：药物模型探险家
公开(公告)号：US20060161354A1
公开(公告)日：2006-07-20
申请号：US11388660
申请日：2006-03-23
申请人： Jacob Mandema , Michael Schwartz , Timothy Sheiner , Jean-Max Vally
发明人： Jacob Mandema , Michael Schwartz , Timothy Sheiner , Jean-Max Vally
IPC分类号： G06F19/00
CPC分类号： G16H50/50 , G06F19/3456 , G16H10/20 , G16H40/63
摘要： Computer systems and methods facilitate exploring results of drug candidate modeling. In one embodiment, the software is configured to receive raw data simulated by a probabilistic model of clinical safety, tolerability, and efficacy of a drug candidate. Index information is extracted from the raw data and then referenced to generate a metadata file, the structure of the metadata file,explicitly reflecting a hierarchical structure of the model. The metadata file is in turn used to convert the raw data into a binary file, the metadata file explicitly identifying locations within the binary file, of treatment scenario information types and output performance information types. The metadata file is also referenced to generate an interface configured to receive inputs from a non-expert audience, and in turn present relevant subsets of the binary file in a limited number of plot and tabular formats. By standardizing presentation and manipulation of data from different models, software and methods in accordance with the present invention facilitate meaningful interaction between a non-expert audience, and the complex abstract mathematical models predicting drug behavior. The heightened audience-model interaction afforded by the present invention in turn promotes uniform and consistent evaluation of modeled data in the process of drug development.
摘要翻译：计算机系统和方法有助于探索药物候选建模的结果。在一个实施例中，软件被配置为接收由药物候选者的临床安全性，耐受性和功效的概率模型模拟的原始数据。从原始数据中提取索引信息，然后引用生成元数据文件，元数据文件的结构，明确地反映模型的层次结构。元数据文件又用于将原始数据转换为二进制文件，元数据文件明确地标识二进制文件中的位置，处理方案信息类型和输出性能信息类型。还引用元数据文件来生成被配置为从非专家观众接收输入的接口，并且依次以有限数量的情节和表格格式呈现二进制文件的相关子集。通过标准化来自不同模型的数据的呈现和操纵，根据本发明的软件和方法促进非专家观众之间的有意义的交互，以及预测药物行为的复杂抽象数学模型。本发明提供的观众模式相互联系越来越强大地对药物开发过程中的建模数据进行了统一和一致的评估。

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