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1. 发明申请

US20190191665A1 SYSTEM AND METHOD OF MEASURED DRUG EFFICACY USING NON-INVASIVE TESTING 审中-公开
公开(公告)号：US20190191665A1
公开(公告)日：2019-06-27
申请号：US15851222
申请日：2017-12-21
申请人： Mousera, Inc
发明人： Laura Schaevitz , Daniel J. Ford , Jonathan Betts-LaCroix
IPC分类号： A01K1/03 , A01K11/00 , A01K29/00
CPC分类号： A01K1/031 , A01K11/001 , A01K11/005 , A01K11/006 , A01K29/005 , A01K2267/03 , A61B2503/40
摘要： Systems and methods of measuring drug efficacy and side effects using non-invasive or husbandry-only testing are described. Steps include testing a cohort with a proposed husbandry-only protocol against an existing gold-standard treatment, and then validating the use of a created surrogate, non-invasive metric in place of an invasive metric. Then, the validated non-invasive surrogate metric and the husbandry-only protocols are used with an animal treatment cohort to study a new proposed treatment. A control cohort is also used, subject to the same husbandry-only testing and the surrogate metric. A statistical difference in outcomes, using one or more surrogate metrics, between the treatment cohort and the control cohort is the drug efficacy, for a drug used to treat the treatment cohort.

2. 发明申请

US20170000906A1 SYSTEM AND METHOD OF MEASURING EFFICACY OF CANCER THERAPEUTICS 审中-公开
标题翻译：测量癌症治疗效果的系统与方法
公开(公告)号：US20170000906A1
公开(公告)日：2017-01-05
申请号：US14788064
申请日：2015-06-30
申请人： Mousera, Inc
发明人： Jonathan Betts-Lacroix , Laura Schaevitz
IPC分类号： A61K49/00 , H04N7/18 , H04N5/33 , A01K1/03 , A01K29/00
CPC分类号： A61K49/0008 , A01K1/031 , A01K29/005 , A61B5/4848
摘要： The field of this invention is measuring efficacy of cancer treatments. In particular the fields of this invention include studies of drug efficacy, use of animals in medical studies, use of animals in vivariums, and use of rodents, particularly mice. Cells from a neoplasm are injected into subject test animals in a specific organ or a specific location of a specific organ, such as the brain. Some of the subject animals receive therapeutic treatments. The behavior of the animals is observed using fully automatic, continuous monitoring using per-cage sensors, where behavior recording is free of human, manual actions. Observed behavior is consistent with healthy or unhealthy behaviors specific to the injection site. Both positive and negative baseline behaviors are collected, typically using the same system or method. Efficacy is measured by comparing treatments under test to both the positive and negative baselines, using multi-dimensional analysis.
摘要翻译：本发明的领域是测量癌症治疗的疗效。特别地，本发明的领域包括药物功效的研究，动物在医学研究中的使用，在生物体中使用动物，以及使用啮齿动物，特别是小鼠。将来自肿瘤的细胞注射到特定器官或特定器官（例如脑）的特定位置的受检试验动物中。一些受试动物接受治疗。使用全自动连续监测来观察动物的行为，使用每笼式传感器，其中行为记录不含人，手动操作。观察到的行为与注射部位特有的健康或不健康行为一致。收集正和负基线行为，通常使用相同的系统或方法。使用多维分析，通过比较正在进行的治疗与阳性和阴性基线测量功效。

3. 发明申请

US20170000081A1 SYSTEM AND METHOD OF AUTOMATIC CLASSIFICATION OF ANIMAL BEHAVIORS 审中-公开
标题翻译：动物行为自动分类系统与方法
公开(公告)号：US20170000081A1
公开(公告)日：2017-01-05
申请号：US14788094
申请日：2015-06-30
申请人： Mousera, Inc
发明人： Jonathan Betts-Lacroix , Laura Schaevitz
IPC分类号： A01K1/03 , A61M5/178 , A61B19/00 , A01K29/00 , A61B5/00
CPC分类号： A01K1/031 , A01K29/005 , A61B5/4848 , A61B5/6887 , A61B5/7264 , A61B90/11 , A61B90/98 , A61B2503/40 , A61B2503/42 , A61M5/178 , A61M2250/00
摘要： The field of this invention is classifying animal behaviors. In particular the fields of this invention include using animals in vivariums, such as rodents, particularly mice. Animal behaviors are classified according to behaviors consistent with healthy or unhealthy organs or locations within organs, such as the brain. Injected neoplastic cells may be used to create an unhealthy organ or location within an organ. Classifications also include responses to different therapies. The behavior of the animals is observed using fully automatic, continuous monitoring using per-cage sensors, where behavior recording is free of human, manual actions. Observed behavior is consistent with healthy or unhealthy behaviors specific to the injection site. Both positive and negative baseline behaviors are collected, typically using the same system or method. Classification is responsive to differences between treated and untreated animals, comparing to both the positive and negative baselines, using multi-dimensional analysis.
摘要翻译：本发明的领域是对动物行为进行分类。特别地，本发明的领域包括在生物体中使用动物，例如啮齿动物，特别是小鼠。动物行为根据与健康或不健康的器官或器官内的位置（如大脑）相一致的行为进行分类。注射的肿瘤细胞可用于在器官内产生不健康的器官或位置。分类还包括对不同疗法的回应。使用全自动连续监测来观察动物的行为，使用每笼式传感器，其中行为记录不含人，手动操作。观察到的行为与注射部位特有的健康或不健康行为一致。收集正和负基线行为，通常使用相同的系统或方法。使用多维分析，分类对治疗和未经治疗的动物之间的差异有反应，与阳性和阴性基线相比。

4. 发明申请

US20170000905A1 DEVICE AND METHOD OF PERSONALIZED MEDICINE 审中-公开
标题翻译：个体化药物的装置和方法
公开(公告)号：US20170000905A1
公开(公告)日：2017-01-05
申请号：US14788118
申请日：2015-06-30
申请人： Mousera, Inc
发明人： Jonathan Betts-Lacroix , Laura Schaevitz
IPC分类号： A61K49/00 , A01K29/00 , A01K1/03 , G01N33/493 , G01N33/497
CPC分类号： A01K29/005 , A01K1/031 , A61K49/0008 , G01N33/493 , G01N33/497
摘要： The field of this invention is personalized medicine. A tissue sample is taken from a patient, optionally amplified, and injected into animals, such as mice in a vivarium. Animals receive one or more therapeutic treatments. Animal behaviors are collected, measured and timed using fully automatic, continuous monitoring using per-cage sensors, where behavior recording is free of human, manual actions. Observed behavior is consistent with healthy or unhealthy behaviors specific to the injection site, typically in a specific organ or location in an organ, such as the brain. The injection site may be consistent with the source site from the patient. Both positive and negative baseline behaviors are collected, typically using the same device or method. Treatment selection is responsive to differences between treated and untreated animals, and between treatments, comparing to both the positive and negative baselines, using multi-dimensional analysis, including side effects.
摘要翻译：本发明的领域是个性化医学。取自患者的组织样品，任选地扩增，并注射到动物体内，如生殖细胞中的小鼠。动物接受一种或多种治疗方法。使用全笼式传感器进行全自动，连续监测来收集，测量和定时动物行为，其中行为记录不需要人工操作。观察到的行为与注射部位特异性的健康或不健康行为一致，通常在器官（如大脑）中的特定器官或位置。注射部位可能与来自患者的源部位一致。收集正和负基线行为，通常使用相同的设备或方法。治疗选择对治疗和未经治疗的动物之间以及处理之间的差异有反应，与正面和负面基线相比，使用多维分析（包括副作用）。

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