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1.发明公开
公开(公告)号：EP3149641A4
公开(公告)日：2018-01-24
申请号：EP15799022
申请日：2015-06-01
发明人： RABIZADEH SHAHROOZ , SOON-SHIONG PATRICK , SANBORN JOHN ZACHARY , VASKE CHARLES JOSEPH , BENZ STEPHEN CHARLES
摘要： Omics patient data are analyzed using sequences or diff objects of tumor and matched normal tissue to identify patient and disease specific mutations, using transcriptomic data to identify expression levels of the mutated genes, and pathway analysis based on the so obtained omic data to identify specific pathway characteristics for the diseased tissue. Most notably, many different tumors have shared pathway characteristics, and identification of a pathway characteristic of a tumor may thus indicate effective treatment options ordinarily not considered when tumor analysis is based on anatomical tumor type only.
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2.发明公开PATHWAY ANALYSIS FOR IDENTIFICATION OF DIAGNOSTIC TESTS 审中-公开SIGNALWEGANALYSE ZUR IDENTIFIZIERUNG VON诊断测试
公开(公告)号：EP3014505A4
公开(公告)日：2017-03-08
申请号：EP14816915
申请日：2014-06-30
申请人： NANTOMICS LLC
CPC分类号： G06F19/345 , G16H50/20
摘要： The present inventive subject matter provides apparatus, systems, and methods in which a diagnostic test is identified, where the diagnostic test is for determining whether a particular treatment is effective for a particular patient based on one or more characteristics of a patient's cells. When a treatment is developed with the potential to treat one or more diseases, the drug can have different effects on different cell lines related to the diseases. A machine learning system is programmed to infer a measurable cell characteristic, out of many different measurable cell characteristics, that has a desirable correlation with the sensitivity data of different cell lines to a treatment. The machine learning system is programmed to then determine, based on the correlation, a threshold level of the cell characteristic the patient should exhibit in order to recommend administering the treatment.
摘要翻译： 本发明的主题提供了其中识别诊断测试的装置，系统和方法，其中诊断测试用于基于患者细胞的一个或多个特征确定特定治疗是否对特定患者有效。 当开发具有治疗一种或多种疾病潜力的治疗时，药物可以对与疾病相关的不同细胞系具有不同的作用。 机器学习系统被编程为推断出许多不同可测量的细胞特征中的可测量细胞特征，其与不同细胞系对治疗的敏感性数据具有期望的相关性。 机器学习系统被编程为然后基于相关性来确定患者应该展示的细胞特征的阈值水平以推荐施用治疗。
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公开(公告)号：EP3111353A4
公开(公告)日：2017-11-01
申请号：EP15755857
申请日：2015-02-26
申请人： NANTOMICS LLC
CPC分类号： G06F21/6263 , G06F19/18 , G06F19/28 , G06F19/322 , G16H10/60 , H04L63/04 , H04L67/02
摘要： A secured mobile genome browsing device is disclosed. The device can store genome data in a webapp format within an isolated, secured container in memory. The device further comprises a genome browser module that identifies relevant genome data and renders the relevant genome data, including drug interacting information, on a display of the device according to genome browsing constraints.
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公开(公告)号：EP3189457A4
公开(公告)日：2018-04-11
申请号：EP15838553
申请日：2015-09-04
发明人： RABIZADEH SHAHROOZ , SOON SHIONG PATRICK , SANBORN JOHN ZACHARY , VASKE CHARLES JOSEPH , BENZ STEPHEN CHARLES
摘要： Systems and methods for genomic analysis are contemplated in which idiosyncratic markers or marker constellations are employed to characterize and compare genomic sequences. In especially preferred aspects, the idiosyncratic markers are predetermined SNPs and a marker profile is used in a sample record to so allow cross reference to other marker profiles of other sequences.
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公开(公告)号：EP3286361A1
公开(公告)日：2018-02-28
申请号：EP16784102
申请日：2016-04-25
CPC分类号： A61K35/17 , C07K16/005 , C07K16/30 , C07K16/32 , C07K2317/32 , G06F19/18 , G06F19/22
摘要： Contemplated compositions and methods are directed to cancer neoepitopes and uses of such neoepitopes, especially to generate synthetic antibodies against neoepitopes that may then be employed in the manufacture of a therapeutic agent. Preferred therapeutic agents will comprise a synthetic antibody against a neoepitope, and most preferably in combination with a cellular or non-cellular component for use as a diagnostic or therapeutic agent.
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公开(公告)号：EP3221472A4
公开(公告)日：2017-11-22
申请号：EP15860469
申请日：2015-11-20
申请人： NANTOMICS LLC
摘要： Systems and methods are provided for determination of primers for differentiation of at least two unspecified pathogens that belong to distinct pathogen (e.g., virus) families that comprise multiple distinct pathogen species and/or varieties.
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