首页> 外国专利> Use of quantitative EEG (QEEG) alone and/or other imaging technology and/or in combination with genomics and/or proteomics and/or biochemical analysis and/or other diagnostic modalities, and CART and/or AI and/or statistical and/or other mathematical analysis methods for improved medical and other diagnosis, psychiatric and other disease treatment, and also for veracity verification and/or lie detection applications.

Use of quantitative EEG (QEEG) alone and/or other imaging technology and/or in combination with genomics and/or proteomics and/or biochemical analysis and/or other diagnostic modalities, and CART and/or AI and/or statistical and/or other mathematical analysis methods for improved medical and other diagnosis, psychiatric and other disease treatment, and also for veracity verification and/or lie detection applications.

机译:单独使用定量EEG(QEEG)和/或其他成像技术和/或结合使用基因组学和/或蛋白质组学和/或生化分析和/或其他诊断方式以及CART和/或AI和/或统计和/或用于改善医学和其他诊断,精神病和其他疾病治疗以及准确性验证和/或测谎应用的其他数学分析方法。

摘要

This invention relates to a method for significantly increasing the accuracy of predicting and selecting an antidepressant agent, or other pharmacological agent for treatment of a disease state, that will be effective based on pre-treatment or baseline, placebo treatment and/or active treatment, or other post-treatment time period data, early changes quantitative EEG or other brain imaging functional state and/or anatomical data (such as magnetoencephalography (MEG), quantitative MEG (QMEG), fMRI, CAT scan, PET, functional PET, X-ray, etc.), time change/time series, weighted factor, principal component, regional ensemble and/or artificial intelligence analysis. Utilization of such methods may also be applied to enhance individual statement verification and/or lie detection. In addition, such methods can be used to identify physiological state, pathophysiological state, including disease diagnosis, disease progression and/or remission, and other health and/or disease states and changes of interest. Furthermore, the invention may be used to discover novel applications for therapeutic entities, deduce the mode of action of one or more therapeutic entities, improve testing of candidate therapeutic entities, and be used by the pharmaceutical industry or research community to eliminate or select agents or therapeutic modalities for further development as therapeutic agents or treatment modalities.
机译:本发明涉及一种用于显着提高预测和选择用于治疗疾病状态的抗抑郁药或其他药物的准确性的方法,该方法将基于预处理或基线,安慰剂治疗和/或积极治疗而有效,或其他治疗后时间段数据,早期变化,定量脑电图或其他脑部成像功能状态和/或解剖学数据(例如脑磁图(MEG),定量MEG(QMEG),fMRI,CAT扫描,PET,功能性PET,X-射线等),时间变化/时间序列,加权因子,主成分,区域集成和/或人工智能分析。也可以应用这种方法来增强个人陈述的核实和/或谎言的发现。另外,这样的方法可以用于识别生理状态,病理生理状态,包括疾病诊断,疾病进展和/或缓解以及其他健康和/或疾病状态以及关注的变化。此外,本发明可以用于发现治疗实体的新颖应用,推论一种或多种治疗实体的作用方式,改善候选治疗实体的测试,并且可以被制药工业或研究团体用于消除或选择药剂或用于进一步发展为治疗剂或治疗方式的治疗方式。

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