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1. 发明申请

US20070258894A1 System and Method for Real-Time Diagnosis, Treatment, and Therapeutic Drug Monitoring 审中-公开
标题翻译：用于实时诊断，治疗和治疗药物监测的系统和方法
公开(公告)号：US20070258894A1
公开(公告)日：2007-11-08
申请号：US10588749
申请日：2005-02-28
申请人： Richard Melker , James Sackellares , Mark Gold , Donn Dennis
发明人： Richard Melker , James Sackellares , Mark Gold , Donn Dennis
IPC分类号： A61K9/51
CPC分类号： A61B5/14546 , A61B5/0836 , A61B5/145 , A61B5/411 , A61B5/4833 , G01N33/497
摘要： Systems and methods for diagnosing and/or treating diseases as well as monitoring disease treatment. For diagnosis, the present invention uses nanoparticle-based assemblies, which comprise a nanoparticle; a surrogate marker; and a means for detecting a specific chemical entity. In certain embodiments, nanoparticle-based assemblies include a payload for simultaneous diagnosis and treatment of disease. In further embodiments, a therapeutic drug and therapeutic drug marker are administered to a patient to monitor disease treatment. Bodily fluid samples are analyzed using sensor technology to detect the presence of surrogate and/or therapeutic drug markers to provide an efficient and accurate means for diagnosing a disease and/or monitoring disease treatment.
摘要翻译：用于诊断和/或治疗疾病以及监测疾病治疗的系统和方法。为了诊断，本发明使用纳米颗粒基组件，其包含纳米颗粒; 替代标记以及用于检测特定化学实体的手段。在某些实施方案中，基于纳米颗粒的组件包括用于同时诊断和治疗疾病的有效载荷。在另外的实施方案中，将治疗药物和治疗药物标记物施用于患者以监测疾病治疗。使用传感器技术分析体液样品以检测替代物和/或治疗药物标记物的存在，以提供用于诊断疾病和/或监测疾病治疗的有效和准确的手段。

2. 发明申请

US20050054942A1 System and method for therapeutic drug monitoring 审中-公开
标题翻译：治疗药物监测系统及方法
公开(公告)号：US20050054942A1
公开(公告)日：2005-03-10
申请号：US10788501
申请日：2004-02-26
申请人： Richard Melker , James Sackellares , Mark Gold
发明人： Richard Melker , James Sackellares , Mark Gold
IPC分类号： A61B5/08 , A61B5/083 , A61M5/142 , A61M5/172 , A61M16/01 , A61M16/10 , A61M37/00
CPC分类号： G01N33/50 , A61B5/082 , A61B5/4094 , A61B5/411 , A61B5/4821 , A61M5/142 , A61M5/1723 , A61M16/01 , A61M16/085 , A61M2016/1035 , A61M2230/437
摘要： The present invention includes systems and methods for monitoring therapeutic drug concentration in blood by detecting markers, such as odors, upon exhalation by a patient after the drug is taken, wherein such markers result either directly from the drug itself or from an additive combined with the drug. In the case of olfactory markers, the invention preferably utilizes electronic sensor technology, such as the commercial devices referred to as “artificial” or “electronic” noses or tongues, to non-invasively monitor drug levels in blood. The invention further includes a reporting system capable of tracking drug concentrations in blood (remote or proximate locations) and providing the necessary alerts with regarding to ineffective or toxic drug dosages in a patient.
摘要翻译：本发明包括通过在药物摄取之后通过检测患者呼气时检测诸如气味的标记物来监测血液中的治疗药物浓度的系统和方法，其中这样的标记物直接从药物本身或与药物本身结合的添加剂药物。在嗅觉标记的情况下，本发明优选利用诸如被称为“人造”或“电子”鼻子或舌头的商业装置的电子传感器技术非侵入性地监测血液中的药物水平。本发明还包括能够跟踪血液（偏远或邻近位置）中的药物浓度并提供关于患者中无效或有毒药物剂量的必要警报的报告系统。

3. 发明申请

US20060287607A1 Multi-dimensional dynamical analysis 审中-公开
标题翻译：多维动力学分析
公开(公告)号：US20060287607A1
公开(公告)日：2006-12-21
申请号：US11339606
申请日：2006-01-26
申请人： James Sackellares , Deng-Shan Shiau , Linda Dance , Leonidas Iasemidis , Panos Pardalos , Wanpracha Chaovalitwongse
发明人： James Sackellares , Deng-Shan Shiau , Linda Dance , Leonidas Iasemidis , Panos Pardalos , Wanpracha Chaovalitwongse
IPC分类号： A61B5/04
CPC分类号： G06K9/0057 , G05B23/024
摘要： Techniques for investigating dynamical behavior of complex systems for monitoring, diagnosing, and predicting future behavior and trends are presented. A method includes generating a multi-dimensional representation for each signal acquired from corresponding channels of a multi-dimensional system, and generating dynamical profiles for each channel in accordance with one of multiple dynamical metrics. The method includes calculating multiple first statistical measures for a group of the channels that reflect a level of interaction among the channel group associated with at least one of the metrics. The method includes calculating in an initialization period a second statistical measure for each of the first statistical measures that reflect the association of the first statistical measures with related occurrences under investigation. The method includes selecting in the initialization period at least one of the metrics based on the second statistical measures, and identifying the first statistical measures corresponding to the selected metrics to characterize dynamical behavior.
摘要翻译：介绍了用于调查复杂系统动态行为监测，诊断和预测未来行为和趋势的技术。一种方法包括为从多维系统的相应信道获取的每个信号生成多维表示，以及根据多个动态度量中的一个为每个信道生成动态简档。该方法包括计算反映与至少一个度量相关联的信道组之间的交互级别的一组信道的多个第一统计度量。该方法包括在初始化期间计算反映第一个统计量度与被调查的相关事件的关联的每个第一统计度量的第二统计量度量。该方法包括在初始化期间基于第二统计度量来选择度量中的至少一个，以及识别与所选度量相对应的第一统计量度，以表征动态行为。

4. 发明申请

US20070213786A1 Closed-loop state-dependent seizure prevention systems 审中-公开
标题翻译：闭环状态依赖性癫痫发作预防系统
公开(公告)号：US20070213786A1
公开(公告)日：2007-09-13
申请号：US11641292
申请日：2006-12-19
申请人： James Sackellares , Jose Principe , Deng-Shan Shiau , Panos Pardalos , Jeongho Cho , Sandeep Nair
发明人： James Sackellares , Jose Principe , Deng-Shan Shiau , Panos Pardalos , Jeongho Cho , Sandeep Nair
IPC分类号： A61N1/36
CPC分类号： A61B5/0476 , A61B5/4094 , A61B5/7267 , A61N1/36017 , A61N1/36025 , A61N1/36064
摘要： The invention provides novel closed-loop neuroprosthetic devices and systems for preventing seizures in which control of the delivery of therapeutic electrical stimulation to a neural structure being monitored is determined by the dynamical electrophysiological state of the neural structure. In certain embodiments, a controller which generates predetermined control input is activated based on an Automated Seizure Warning system. Other embodiments of the systems and methods encompass direct control systems wherein the controller design is based on chaos theory. Yet other versions embody model-based control systems in which controller design is based on a model that represents the relationship between the control input and the dynamical descriptor.
摘要翻译：本发明提供了新颖的闭环神经假体装置和系统，用于防止癫痫发作，其中通过神经结构的动力学电生理状态来确定对被监测的神经结构的治疗性电刺激的传递控制。在某些实施例中，产生预定控制输入的控制器基于自动检测警报系统而被激活。系统和方法的其他实施例包括直接控制系统，其中控制器设计基于混沌理论。其他版本体现了基于模型的控制系统，其中控制器设计基于表示控制输入和动态描述符之间的关系的模型。

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