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1. 发明申请

US20160300036A1 METHODS, COMPUTER-ACCESSIBLE MEDIUM AND SYSTEMS TO MODEL DISEASE PROGRESSION USING BIOMEDICAL DATA FROM MULTIPLE PATIENTS 审中-公开
标题翻译：方法，计算机可访问的媒介和系统使用生物医学数据从多个患者模型疾病进展
公开(公告)号：US20160300036A1
公开(公告)日：2016-10-13
申请号：US15032903
申请日：2014-10-28
申请人： NEW YORK UNIVERSITY , UNIVERSITA DEGLI STUDI DI MILANO - BICOCCA
发明人： DANIELE RAMAZZOTTI , GIULIO CARAVAGNA , LOES OLDE LOOHUIS , ALEX GRAUDENZI , IIYA KORSUNCKY , GIANCARLO MAURI , MARCO CH , BHUBANESWAR MISHRA
IPC分类号： G06F19/00
CPC分类号： G16H50/50 , G16B5/00
摘要： An exemplary embodiment of system, method and computer-accessible medium can be provided to reconstruct models based on the probabilistic notion of causation, which can differ fundamentally from that can be based on correlation. A general reconstruction setting can be complicated by the presence of noise in the data, owing to the intrinsic variability of biological processes as well as experimental or measurement errors. To gain immunity to noise in the reconstruction performance, it is possible to use a shrinkage estimator. On synthetic data, the exemplary procedure can outperform currently known procedures and, for some real cancer datasets, there are biologically significant differences revealed by the exemplary reconstructed progressions. The exemplary system, method and computer accessible medium can be efficient even with a relatively low number of samples and its performance quickly converges to its asymptote as the number of samples increases.
摘要翻译：可以提供系统，方法和计算机可访问介质的示例性实施例，以基于因果关系的概率概念重建模型，这可能与可以基于相关性的概率概念有所不同。由于生物过程的内在变异性以及实验或测量误差，数据中存在噪声可能会使一般的重建设置变得复杂。为了在重建性能中获得对噪声的抵抗能力，可以使用收缩估计器。在合成数据上，示例性程序可以胜过当前已知的程序，并且对于一些真实的癌症数据集，通过示例性重建进程显示出生物学上显着的差异。即使采样数量相对较少，示例性系统，方法和计算机可访问介质也是有效的，并且随着样本数量的增加，其性能迅速收敛到其渐近线。

2. 发明申请

US20220180709A1 SYSTEM, METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR ARTIFICIAL INTELLIGENT MARKET MICROSTRUCTURE 有权
公开(公告)号：US20220180709A1
公开(公告)日：2022-06-09
申请号：US17116653
申请日：2020-12-09
申请人： New York University
发明人： BHUBANESWAR MISHRA
IPC分类号： G07F17/32 , G06Q20/06 , G06Q40/04 , G06Q10/06 , G16H70/20 , G16H50/20 , G16H40/20 , G06N3/08 , G06N3/04
摘要： An exemplary system, method, and computer-accessible medium for recommending a model(s), can include, for example, receiving a plurality of test models including the model(s), determining if each of the test models has at least one verifier associated therewith, and recommending the model(s) based on the determination. An indication of a stake associated with each of the test models can be received. The stake can be a financial stake or a reputation stake. The financial stake can be a cryptocurrency. At least one of the test models can be analyzed using a machine learning procedure, which can be a convolutional neural network or a recurrent neural network. At least one of the test models can be analyzed using an empirical Bayes procedure. A particular model can be removed if the particular model(s) does not have a verifier(s) associated therewith.

3. 发明申请

US20190139144A1 SYSTEM, METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR EFFICIENT SIMULATION OF FINANCIAL STRESS TESTING SCENARIOS WITH SUPPES-BAYES CAUSAL NETWORKS 审中-公开
公开(公告)号：US20190139144A1
公开(公告)日：2019-05-09
申请号：US16180502
申请日：2018-11-05
申请人： NEW YORK UNIVERSITY
发明人： BHUBANESWAR MISHRA , DANIELE RAMAZZOTTI , GELIN GAO
IPC分类号： G06Q40/06 , G06N99/00 , G06N5/04
摘要： An exemplary system, method and computer-accessible medium for generating a financial stress test(s), can be provided, which can include, for example, receiving financial information, automatically determining a causal network(s) based on the financial information, adjusting a false discovery(ies) in the causal network(s), automatically classifying factor space in the causal network(s) into applicable risky and non-risky constraints, sampling the causal network(s) based on the risky constraints, and electronically generating a financial stress test(s) based on the sampled causal network(s).

4. 发明申请

US20200374270A1 SYSTEM, METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR SUPPORTING AT LEAST ONE CYBER-PHYSICAL SIGNALING GAME 审中-公开
公开(公告)号：US20200374270A1
公开(公告)日：2020-11-26
申请号：US16880919
申请日：2020-05-21
申请人： NEW YORK UNIVERSITY
发明人： BHUBANESWAR MISHRA
IPC分类号： H04L29/06 , H04L9/14 , H04L9/30 , G06Q50/26 , G06Q40/02 , G06Q10/10 , G06Q30/00 , G06Q20/08 , A63F13/71
摘要： Exemplary system, method, and computer-accessible medium for transmitting or generating an encrypted message(s) to or for a receiver(s) from a sender(s), can be provided, which can include, for example, generating an electronic public key(s) and an electronic private key(s) for the sender(s), generating first information based on (i) data of the sender(s), (ii) a state(s) of the sender(s), and/or (iii) a type of the sender(s), electronically selecting an electronic message signal(s) and a time stamp(s) based on the first information, generating a message(s) based on the electronic message signal(s) and the time stamp(s), generating the encrypted message(s) by encrypting the message(s) using the electronic private key(s), and transmitting the encrypted message(s) to the receiver(s).

5. 发明申请

US20180129961A1 SYSTEM, METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR MAKING A PREDICTION FROM MARKET DATA 审中-公开
公开(公告)号：US20180129961A1
公开(公告)日：2018-05-10
申请号：US15573786
申请日：2016-05-12
申请人： New York University , Instadat, LLC
发明人： GEORGE KAILAS , SEAN HANNLEY , BHUBANESWAR MISHRA
IPC分类号： G06N7/00 , G06Q30/02 , G06N99/00 , G06F17/30
CPC分类号： G06N7/005 , G06F16/244 , G06N20/00 , G06Q10/00 , G06Q30/0202 , G06Q40/00
摘要： An exemplary system, method and computer-accessible medium for generating a model(s), can include, for example, receiving first information related to raw data, generating second information by formatting the first information, generating third information related to a feature set(s) of the second information, generating the model(s) based on the second and third information. Fourth information related to a user-defined regularization of the second information can be received, fifth information can be generated based on a reformatting of the second information using the fourth information. A prediction(s) can be generated based on the model(s). The prediction(s) can be generated based on a time horizon(s).

6. 发明申请

US20160080528A1 SYSTEM, METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR SECURE AND COMPRESSED TRANSMISSION OF GENOMIC DATA 审中-公开
标题翻译：用于基因数据安全和压缩传输的系统，方法和计算机可访问介质
公开(公告)号：US20160080528A1
公开(公告)日：2016-03-17
申请号：US14852936
申请日：2015-09-14
申请人： NEW YORK UNIVERSITY
发明人： BHUBANESWAR MISHRA , JASON REED
IPC分类号： H04L29/06
CPC分类号： H04L63/0435 , G06F19/22 , G06F19/321 , H04L67/10 , H04L67/12 , H04W4/60
摘要： An exemplary system, method and computer-accessible medium can be provided for generating an encrypted reference-based secure-compression of randomly located short sequence reads from a genome(s), which can, for example, including obtaining information related to the randomly located short sequence reads, obtaining second information related to a plurality of reference sequences for the genome(s), generating third information related to a set of edit calls containing location information based on the first and second information using a base-calling procedure and an alignment procedure, and generating the encrypted reference-based secure-compression of the first information based on the third information. The exemplary system, method and computer-accessible medium can facilitate the exemplary chemistry box to generate analog information to be locally and physically separated from informatics box interpreting digital data.
摘要翻译：可以提供示例性的系统，方法和计算机可访问介质，用于从基因组生成随机定位的短序列读取的加密的基于参考的安全压缩，其可以例如包括获得与随机位置有关的信息短序列读取，获得与所述基因组的多个参考序列有关的第二信息，使用基本呼叫过程和对齐来生成基于所述第一和第二信息的包含位置信息的一组编辑呼叫相关的第三信息并且基于第三信息生成基于加密的基于参考的安全压缩第一信息。示例性系统，方法和计算机可访问介质可以促进示例性化学盒产生模拟信息以在本地和物理上与解释数字数据的信息盒分离。

7. 发明申请

US20150142334A1 SYSTEM, METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR GENETIC BASE CALLING AND MAPPING 审中-公开
标题翻译：用于遗传基因呼叫和映射的系统，方法和计算机可访问介质
公开(公告)号：US20150142334A1
公开(公告)日：2015-05-21
申请号：US14543016
申请日：2014-11-17
申请人： NEW YORK UNIVERSITY
发明人： BHUBANESWAR MISHRA
IPC分类号： G06F19/24 , G06F19/18
CPC分类号： G16B30/00
摘要： RNA sequencing techniques provide rapid base-calling and resequencing for improved bio-informatics. Exemplary embodiments of computer-implemented systems and methods can be provided, as applied to RNA sequence interpretation, enumeration and classification, etc., by defining a map of the transcripts encoded in a genome, and measuring their relative abundances
摘要翻译： RNA测序技术为改进的生物信息学提供了快速的基本呼叫和重新测序。计算机实现的系统和方法的示例性实施方案可以通过定义基因组中编码的转录物的图谱并测量它们的相对丰度来应用于RNA序列解释，计数和分类等等。

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