公开(公告)号：US12094574B2

公开(公告)日：2024-09-17

申请号：US16972520

申请日：2019-06-06

申请人： Nantomics, LLC

发明人： Nicholas J. Witchey ,  Patrick Soon-Shiong ,  Kayvan Niazi ,  John Zachary Sanborn

IPC分类号： G16B30/10 ,  G16B20/20 ,  G16B40/30

CPC分类号： G16B30/10 ,  G16B20/20 ,  G16B40/30

摘要： Methods for analyzing omics data and using the omics data to determine genetic distances and/or difference scores among a plurality of biological uncles to so further determine the homogeneity of a group having a plurality of biological samples and/or exclude as individual biological sample from a group of biological samples a an outlier we presented. In preferred methods, a plurality of local differential string sea among do plurality of sequence strings is generated wing a plurality of local alignments. The local different suing is as indicative of genetic difference between one sequence string and one of do rests of do sequence strings among the plurality of sequence strings. From the plurality of local differential string sets, a plurality of difference scores among do plurality of sequence strings can be determined.

公开(公告)号：US11948687B2

公开(公告)日：2024-04-02

申请号：US17381675

申请日：2021-07-21

申请人： NantOmics, LLC ,  NantHealth, Inc. ,  NantCell, Inc.

发明人： Mustafa I. Jaber ,  Liudmila A. Beziaeva ,  Bing Song ,  Christopher W. Szeto ,  Stephen Charles Benz ,  Shahrooz Rabizadeh

IPC分类号： G16H50/20 ,  G06N3/08 ,  G06T7/00 ,  G06T7/11

CPC分类号： G16H50/20 ,  G06N3/08 ,  G06T7/0012 ,  G06T7/11 ,  G06T2207/30096

摘要： A method of determining a region of interest in an image of tissue of an individual by an apparatus including processing circuitry may include executing, by the processing circuitry, instructions that cause the apparatus to partition an image of tissue of an individual into a set of areas, identify a tissue type of each area of the image, and apply a classifier to the image to determine a region of interest, the classifier being configured to determine regions of interest based on the tissue types of the set of areas of the image.

公开(公告)号：US20240021314A1

公开(公告)日：2024-01-18

申请号：US18474797

申请日：2023-09-26

申请人： Nantomics LLC

发明人： Shahrooz Rabizadeh ,  Patrick Soon-Shiong

IPC分类号： G16H50/20 ,  G16H20/40 ,  G16H70/60 ,  G16H10/40 ,  G16H10/60 ,  G16H50/30 ,  G16H50/70 ,  G16H20/10 ,  G16B20/20 ,  G16B20/10

CPC分类号： G16H50/20 ,  G16H20/40 ,  G16H70/60 ,  G16H10/40 ,  G16H10/60 ,  G16H50/30 ,  G16H50/70 ,  G16H20/10 ,  G16B20/20 ,  G16B20/10 ,  G16B25/10

摘要： Methods for analyzing omics data and using the omics data to determine prognosis of a cancer, to predict an outcome of a treatment, and/or to determine an effectiveness of a treatment are presented. In preferred methods, blood from a patient having a cancer or suspected to have a cancer is obtained and blood omics data for a plurality of cancer-related, inflammation-related, or DNA repair-related genes are obtained. A cancer score can be calculated based on the omics data, which then can be used to provide a cancer prognosis, a therapeutic recommendation, an effectiveness of a treatment.

公开(公告)号：US11785004B2

公开(公告)日：2023-10-10

申请号：US17707925

申请日：2022-03-29

申请人： NantHealth, Inc. ,  NantOmics, LLC ,  Nant Holdings IP, LLC

发明人： Patrick Soon-Shiong ,  Stephen Benz ,  Rahul Chaturvedi

IPC分类号： H04L29/06 ,  H04L9/40 ,  G16B50/00 ,  G06F21/32 ,  G06F21/35 ,  H04L9/08 ,  H04L9/32 ,  G16B50/30

CPC分类号： H04L63/0861 ,  G06F21/32 ,  G06F21/35 ,  G16B50/00 ,  G16B50/30 ,  H04L9/0872 ,  H04L9/3231 ,  H04L63/0853 ,  H04L2463/102

摘要： Various devices, systems, structures and methods are disclosed related to securely authorizing a transaction by synchronizing digital genomic data with associated synthetic genomic variants. An embodiment of the present invention utilizes digital genomic data associated with an entity, such as a person, who may utilize a genome-based security device to complete a transaction. In one embodiment, a person may use a genome-based security device to communicate with an external device over a wireless or other communication interface, synchronize digital genomic data and an associated synthetic variant received from the external device with digital genomic data and associated synthetic variant stored on the genome-based security device.

公开(公告)号：US20230267375A1

公开(公告)日：2023-08-24

申请号：US18137812

申请日：2023-04-21

申请人： NantOmics, LLC ,  Nant Holdings IP, LLC

发明人： Christopher W. SZETO ,  Stephen Charles BENZ ,  Nicholas J. WITCHEY

IPC分类号： G06N20/00 ,  G16H50/50 ,  G06N20/10 ,  G16H50/20 ,  G16H10/60 ,  G16H40/20 ,  G06F21/62

CPC分类号： G06N20/00 ,  G16H50/50 ,  G06N20/10 ,  G16H50/20 ,  G16H10/60 ,  G16H40/20 ,  G06F21/6254 ,  G06F21/6245

摘要： A distributed, online machine learning system is presented. Contemplated systems include many private data servers, each having local private data. Researchers can request that relevant private data servers train implementations of machine learning algorithms on their local private data without requiring de-identification of the private data or without exposing the private data to unauthorized computing systems. The private data servers also generate synthetic or proxy data according to the data distributions of the actual data. The servers then use the proxy data to train proxy models. When the proxy models are sufficiently similar to the trained actual models, the proxy data, proxy model parameters, or other learned knowledge can be transmitted to one or more non-private computing devices. The learned knowledge from many private data servers can then be aggregated into one or more trained global models without exposing private data.

公开(公告)号：US20230210969A1

公开(公告)日：2023-07-06

申请号：US17938270

申请日：2022-10-05

申请人： Nantomics LLC

发明人： Stephen Charles Benz ,  Andrew Nguyen ,  Charles Joseph Vaske ,  John Zachary Sanborn

IPC分类号： A61K39/00 ,  A61K47/68 ,  C07K14/47 ,  C12N5/0783 ,  G01N33/574 ,  C07K16/30 ,  C12N5/09 ,  C07K16/22

CPC分类号： A61K39/001102 ,  A61K47/6851 ,  C07K14/4702 ,  C12N5/0638 ,  C12N5/0646 ,  A61K39/001144 ,  G01N33/57407 ,  C07K16/30 ,  C12N5/0693 ,  C07K16/22 ,  A61K2039/812 ,  A61K2039/53 ,  A61K2039/505 ,  A61K2039/80 ,  C07K2319/60 ,  A61K2039/892 ,  C07K2317/34 ,  C07K2319/55

摘要： Certain universal neoepitopes and cancer specific neoepitopes and methods therefor are presented that may be used in immunotherapy and cancer diagnosis. Preferred therapeutic and diagnostic compositions include antibodies or fragments thereof that bind to neoepitopes on cancer cells.

公开(公告)号：US20230160881A1

公开(公告)日：2023-05-25

申请号：US16646734

申请日：2018-09-14

申请人： NantOmics, LLC

发明人： Patrick Soon-Shiong ,  Shahrooz Rabizadeh

IPC分类号： G01N33/53 ,  C12Q1/6886 ,  A61K45/06

CPC分类号： G01N33/5308 ,  C12Q1/6886 ,  A61K45/06 ,  C12Q2600/118 ,  C12Q2600/158

摘要： Methods for and uses of cell free RNA for determining prognosis of a cancer immunotherapy or for identifying a location of a tumor that is susceptible to a cancer immunotherapy are disclosed. A bodily fluid of a cancer patient treated with the cancer immunotherapy is obtained and cell free RNA is isolated from the bodily fluid. The amount of cell free RNA of at least one cancer related gene in the bodily fluid of the patient is identified, and the quantity of the cell free RNA is associated with the prognosis of the cancer immunotherapy. In some embodiments, the cell free RNA of at least one cancer related gene is cell-type specific or tumor-specific such that characterization of the cell free RNA identifies the location of the tumor.

公开(公告)号：US20230129222A1

公开(公告)日：2023-04-27

申请号：US18088487

申请日：2022-12-23

申请人： NantOmics, LLC

发明人： Bing Song ,  Gregory Chu

IPC分类号： G06V10/82 ,  G06T7/00 ,  G06N3/04 ,  G06T7/187 ,  G06T7/11 ,  G06V10/50 ,  G06V10/44 ,  G06V20/69 ,  G06F18/21 ,  G06F18/20 ,  G06F18/2411 ,  G06F18/23213 ,  G06F18/2413 ,  G06F18/2415 ,  G06N3/045 ,  G06N7/01 ,  G06V10/764 ,  G06V10/778

摘要： A computer implemented method of generating at least one shape of a region of interest in a digital image is provided. The method includes obtaining, by an image processing engine, access to a digital tissue image of a biological sample; tiling, by the image processing engine, the digital tissue image into a collection of image patches; identifying, by the image processing engine, a set of target tissue patches from the collection of image patches as a function of pixel content within the collection of image patches; assigning, by the image processing engine, each target tissue patch of the set of target tissue patches an initial class probability score indicating a probability that the target tissue patch falls within a class of interest, the initial class probability score generated by a trained classifier executed on each target tissue patch; generating, by the image processing engine, a first set of tissue region seed patches by identifying target tissue patches having initial class probability scores that satisfy a first seed region criteria, the first set of tissue region seed patches comprising a subset of the set of target tissue patches; generating, by the image processing engine, a second set of tissue region seed patches by identifying target tissue patches having initial class probability scores that satisfy a second seed region criteria, the second set of tissue region seed patches comprising a subset of the set of target tissue patches; calculating, by the image processing engine, a region of interest score for each patch in the second set of tissue region seed patches as a function of initial class probability scores of neighboring patches of the second set of tissue region seed patches and a distance to patches within the first set of issue region seed patches; and generating, by the image processing engine, one or more region of interest shapes by grouping neighboring patches based on their region of interest scores.

公开(公告)号：US20220319640A1

公开(公告)日：2022-10-06

申请号：US17842519

申请日：2022-06-16

申请人： Nantomics LLC

发明人： John Zachary Sanborn

IPC分类号： G16B30/00 ,  G16B35/00 ,  G16C20/60 ,  G16B45/00 ,  G16B50/00 ,  G16B20/00 ,  G16B30/10 ,  G16B20/40 ,  G16B20/20

摘要： Systems and methods for in silico prediction of HLA type of a patient are presented in which patient sequence reads and a reference sequence with known and distinct HLA alleles are used in a de Bruijn graph. A composite match score is then used to rank HLA alleles, thus providing a first HLA type. A second HLA type is identified by re-ranking using an adjusted composite match score.

公开(公告)号：US20220180626A1

公开(公告)日：2022-06-09

申请号：US17605224

申请日：2020-03-10

申请人： NantOmics, LLC ,  NantHealth, Inc.

发明人： Bing Song ,  Mustafa Jaber ,  Liudmila Beziaeva ,  Shahrooz Rabizadeh

IPC分类号： G06V10/774 ,  G06V10/764 ,  G06V10/77 ,  G06T7/194 ,  G06V10/766 ,  G06V10/22 ,  G06V10/82 ,  G06V10/56 ,  G06V10/36 ,  G06T7/00 ,  G16H30/40 ,  G16H10/40

摘要： Techniques are provided for determining classifications based on WSIs. A varied-size feature map is generated for each training WSI by generating a grid of patches for the training WSI, segmenting the training WSI into tissue and non-tissue areas, and converting patches comprising the tissue areas into tensors. Bounding boxes are generated based on the patches comprising tissue areas and segmented into feature map patches. A fixed-size feature map is generated based on a subset of the feature map patches. A classifier model is trained to process fixed-size feature maps corresponding to the training WSIs such that, for each fixed-size feature map, the classifier model is operable to assign a WSI-level tissue or cell morphology classification or regression based on the tensors. A classification engine is configured to use the trained classifier model to determine a WSI-level tissue or cell morphology classification or regression for a test WSI.