-
公开(公告)号:US20240363199A1
公开(公告)日:2024-10-31
申请号:US18646962
申请日:2024-04-26
申请人: Cardiai Technologies
摘要: The present disclosure relates to a method (100) for diagnosing a medical condition using microbiome data. The method (100) includes collecting a sample from a subject and obtaining microbiome data from the collected sample. The method (100) also includes analyzing the microbiome data to identify patterns associated with the medical condition selected from the group consisting of infectious diseases, inflammatory disorders, metabolic disorders, autoimmune diseases, gastrointestinal disorders, and neurological disorders. The method (100) also includes identifying specific microbial taxa that are associated with the medical condition to determine patterns. The method (100) also includes comparing identified patterns with a reference set of patterns associated with the medical condition. The method (100) also includes using the comparison results indicating significant difference from the reference set of patterns to diagnose the medical condition.
-
公开(公告)号:US20240355420A1
公开(公告)日:2024-10-24
申请号:US18136670
申请日:2023-04-19
申请人: Helix, Inc.
发明人: Enakshi Singh , Sharoni Jacobs , Emre Colak
摘要: A machine accesses first results of a first analysis performed by a first version of a first analytical tool on sequenced data of a genetic sample. A second analytical tool is to process results of the first analytical tool. The machine determines that a second analysis is to be performed by a second version of the first analytical tool upon the sequenced data of the genetic sample. A third analytical tool into which second results of the second analytical tool are to be inputted specifies a minimum version of the first analytical tool, and the determining that the second analysis is to be performed may be based on the first version failing to satisfy the minimum version, the second version satisfying the minimum version, or both. The machine then causes the second analysis to be performed by the second version of the first analytical tool on the sequenced data.
-
公开(公告)号:US12112839B2
公开(公告)日:2024-10-08
申请号:US18188443
申请日:2023-03-22
申请人: Tempus AI, Inc.
发明人: Christopher Shane Colley , Isaiah Simpson , Brian Reuter , Robert Tell , Hailey Lefkofsky , Hunter Lane , Kevin White , Nike Beaubier , Stephen Bush , Aly Khan , Denise Lau , Kaanan Shah , Eric Lefkofsky
IPC分类号: G16H10/60 , G16B30/00 , G16B40/20 , G16H15/00 , G16H20/10 , G16H20/40 , G16H50/20 , G16H50/30 , G16H50/50 , G16H50/70
CPC分类号: G16H10/60 , G16B30/00 , G16B40/20 , G16H15/00 , G16H20/10 , G16H20/40 , G16H50/20 , G16H50/30 , G16H50/50 , G16H50/70
摘要: A method and system comprising storing a set of user application programs each requiring an application specific subset of data to perform application processes and generate a respective genomic variant characterization for each of a plurality of patients with cancerous cells and receiving cancer treatment. The method including, obtaining clinical records data including cancer related information, generating genomic sequencing data for the patient's cancerous cells and normal cells, shaping at least a subset of the genomic sequencing data to generate system structured data. Storing the system structured data in a first database, selecting the application specific data from the first database, storing the application specific data in a second database for application program interfacing, receiving the respective genomic variant characterization from the user application program, and storing the genomic variant characterization from the user application program in a third database.
-
公开(公告)号:US12112832B2
公开(公告)日:2024-10-08
申请号:US16573161
申请日:2019-09-17
申请人: SEQUENOM, INC.
发明人: Cosmin Deciu , Zeljko Dzakula , Amin Mazloom
IPC分类号: G16B20/10 , C12Q1/6869 , C12Q1/6883 , G16B30/00 , G16B30/10 , G16B30/20 , G16B40/00
CPC分类号: G16B20/10 , C12Q1/6869 , C12Q1/6883 , G16B30/00 , G16B30/10 , G16B30/20 , G16B40/00 , C12Q2545/101 , C12Q2545/114
摘要: Provided herein are methods, processes and apparatuses for non-invasive assessment of genetic variations.
-
公开(公告)号:US20240331803A1
公开(公告)日:2024-10-03
申请号:US18616898
申请日:2024-03-26
发明人: Matthias SIEBERT
摘要: A computer-implemented method for analyzing genomic sequence data comprises: obtaining genomic sequence data; obtaining data from three-dimensional protein structures; mapping the genomic sequence data on the protein structures; inputting the mapped genomic sequence data into a trained graph neural network; and deriving a diagnostic, prognostic and/or predictive conclusion output with respect to said disease or medical condition. The architecture of the graph neural network is based on the three-dimensional protein structure. The graph neural network is trained based on genomic sequence data from a cohort of subjects affected by a disease or medical condition mapped to the three-dimensional protein structures and corresponding diagnostic, prognostic and/or predictive conclusions in the context of the disease or medical condition.
-
6.
公开(公告)号:US20240321396A1
公开(公告)日:2024-09-26
申请号:US18575530
申请日:2022-06-29
申请人: Memorial Sloan-Kettering Cancer Center , Memorial Hospital for Cancer and Allied Diseases , Sloan-Kettering Institute for Cancer Research
IPC分类号: G16B30/00 , C12Q1/6874 , C12Q1/6883 , C12Q1/6886 , G16B40/20
CPC分类号: G16B30/00 , C12Q1/6874 , C12Q1/6883 , C12Q1/6886 , G16B40/20
摘要: The present technology relates to methods, computing devices, and systems for identifying somatic mutational signatures (e.g., cancer, aging) from whole genome sequencing (e.g., low coverage WGS) of cell-free DNA (cfDNA) obtained from subjects. Machine learning techniques may be applied to cfDNA mutational profiles, permitting accurate discrimination between cancer patients and healthy individuals or discrimination between different cancer types.
-
公开(公告)号:US12098183B2
公开(公告)日:2024-09-24
申请号:US17372136
申请日:2021-07-09
IPC分类号: C07K14/00 , A61K39/00 , A61P35/00 , C07K14/47 , C07K14/74 , C07K16/28 , C12Q1/6886 , G16B30/00
CPC分类号: C07K14/70539 , A61K39/0011 , A61P35/00 , C07K14/4748 , C07K16/2818 , C07K16/2833 , C12Q1/6886 , G16B30/00 , A61K39/00 , A61K2039/892 , C07K2317/34 , C12Q2600/156
摘要: The present invention relates to peptides, proteins, nucleic acids and cells for use in immunotherapeutic methods. In particular, the present invention relates to the immunotherapy of cancer. The present invention furthermore relates to tumor-associated T-cell peptide epitopes, alone or in combination with other tumor-associated peptides that can for example serve as active pharmaceutical ingredients of vaccine compositions that stimulate anti-tumor immune responses, or to stimulate T cells ex vivo and transfer into patients. Peptides bound to molecules of the major histocompatibility complex (MHC), or peptides as such, can also be targets of antibodies, soluble T-cell receptors, and other binding molecules.
-
公开(公告)号:US12094572B1
公开(公告)日:2024-09-17
申请号:US17817896
申请日:2022-08-05
申请人: NVIDIA Corporation
发明人: Johnny Israeli , Avantika Lal , Michael Vella , Nikolai Yakovenko , Zhen Hu
IPC分类号: G16B30/00 , G06F18/214 , G06F18/24 , G06N3/04 , G06N3/08
CPC分类号: G16B30/00 , G06F18/214 , G06F18/24 , G06N3/0418 , G06N3/08
摘要: The present disclosure provides methods, systems, and computer program products that use deep learning models to classify candidate mutations detected in sequencing data, particularly suboptimal sequencing data. The methods, systems, and programs provide for increased efficiency, accuracy, and speed in identifying mutations from a wide range of sequencing data.
-
公开(公告)号:US20240304283A1
公开(公告)日:2024-09-12
申请号:US18390753
申请日:2023-12-20
发明人: Stephanie I. Fraley , Sinead Charpentier , Daniel Ortiz Velez , Mridu Sinha , Benjamin Albert Yang
摘要: Methods are provided for nucleic acid analysis via a platform which incorporates a digital sample partitioning platform such as a microfluidic chip or digital droplet platform and instrumentation to accomplish universal amplification, High Resolution Melting (TIRM), and machine learning within reactions simultaneously.
-
公开(公告)号:US20240303550A1
公开(公告)日:2024-09-12
申请号:US18671542
申请日:2024-05-22
申请人: 23andMe, Inc.
IPC分类号: G06N20/00 , G06F3/04812 , G06F3/0484 , G06F11/07 , G06F16/29 , G06N5/022 , G06N5/04 , G16B20/00 , G16B20/20 , G16B20/40 , G16B30/00 , G16B40/00 , G16B40/20 , G16B40/30 , G16B45/00 , G16H10/60
CPC分类号: G06N20/00 , G06F3/04812 , G06F3/0484 , G06F11/0793 , G06F16/29 , G06N5/022 , G06N5/04 , G16B20/00 , G16B20/20 , G16B20/40 , G16B30/00 , G16B40/00 , G16B40/20 , G16B40/30 , G16B45/00 , G16H10/60
摘要: Displaying an indication of ancestral data is disclosed. An indication that a genetic interval corresponds to a reference interval that has a likelihood of having one or more ancestral origins is received. One or more graphic display parameters are determined based at least in part on the indication. An indication of the one or more ancestral origins is visually displayed using the one or more graphic display parameters.
-
-
-
-
-
-
-
-
-