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公开(公告)号:US11682098B2
公开(公告)日:2023-06-20
申请号:US17231891
申请日:2021-04-15
申请人: TEMPUS LABS, INC.
发明人: Stephen Yip , Irvin Ho , Lingdao Sha , Boleslaw Osinski
IPC分类号: G06T1/20 , G06T7/00 , G06T7/11 , G06T11/00 , G06F18/21 , G06F18/2431 , G06V10/764 , G06V10/82 , G06V10/44
CPC分类号: G06T1/20 , G06F18/21 , G06F18/2431 , G06T7/0012 , G06T7/11 , G06T11/00 , G06V10/44 , G06V10/764 , G06V10/82 , G06T2207/20081 , G06T2207/30024 , G06T2207/30096
摘要: A generalizable and interpretable deep learning model for predicting biomarker status and biomarker metrics from histopathology slide images is provided.
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公开(公告)号:US20230154563A1
公开(公告)日:2023-05-18
申请号:US17968509
申请日:2022-10-18
申请人: TEMPUS LABS, INC.
发明人: Jason Perera , Ariane Lozac'hmeur
摘要: Processes are provided for detecting loss of heterozygosity of Human Leukocyte Antigen (HLA) in a subject using analysis of next generation sequencing (NGS) data. The processes include aligning NGS data and identifying unmapped and mapped reads, updating reference data, and feeding one or more sequence reads to an HLA typing process for identifying candidate HLA alleles and feeding HLA type data to a loss of heterozygosity (LOH) modeling process for determining a LOH status for each HLA allele. A report may be generated of the LOH statuses for each of HLA allele.
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公开(公告)号:US11651442B2
公开(公告)日:2023-05-16
申请号:US17680292
申请日:2022-02-25
申请人: Tempus Labs, Inc.
发明人: Shane Colley , Nike Beaubier , Robert Tell , Eric Lefkofsky
IPC分类号: G16H50/20 , G16H30/40 , G06Q40/08 , G16H50/70 , G06K9/62 , G06V10/75 , G06V30/416 , G06V30/418 , G06V30/10 , G16H15/00
CPC分类号: G16H50/20 , G06K9/628 , G06K9/6262 , G06Q40/08 , G06V10/75 , G06V30/416 , G06V30/418 , G16H30/40 , G16H50/70 , G06V30/10 , G16H15/00
摘要: A system, method, and mobile device application are configured to capture, with a mobile device, a document such as a next generation sequencing (NGS) report that includes NGS medical information about a genetically sequenced patient. The method includes receiving, from a mobile device, an image of a medical document comprising NGS medical information of the patient, extracting a first region from the image, extracting NGS medical information of the patient from the first region into a structured dataset, the extracted NGS medical information including at least one RNA expression, correlating a portion of the extracted NGS medical information that includes the at least one RNA expression with summarized medical information from a cohort of patients similar to the patient, and generating, for display on the mobile device, a clinical decision support report comprising the summarized medical information.
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公开(公告)号:US20230064530A1
公开(公告)日:2023-03-02
申请号:US17816345
申请日:2022-07-29
申请人: TEMPUS LABS, INC.
发明人: Ramit Bharanikumar , Karl Beutner , Jason Perera
摘要: Processes are provided for identifying somatic variants in a human leukocyte antigen (HLA) gene in a subject using analysis of next generation sequencing (NGS) data. The processes include aligning HLA sequence read data for normal samples and the HLA sequence data for a tumor sample to a patient specific HLA reference genome and performing a variant calling process on filtered aligned read data and determining somatic variants of the HLA class. A report may be generated of somatic variants of the HLA gene annotated for functional effect.
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公开(公告)号:US20230047927A1
公开(公告)日:2023-02-16
申请号:US17400117
申请日:2021-08-12
申请人: Tempus Labs, Inc.
IPC分类号: G01N35/00
摘要: A method and system for pooling a plurality of specimens for processing, each specimen associated with a set of specimen characteristics. Each specimen is grouped based on the set of specimen characteristics, where the set of specimen characteristics includes a mass of each specimen. A set of flow cell characteristics for each flow cell included in a group of flow cells that includes at least one flow cell is identified. At least one pool is generated based on the set of specimen characteristics associated with each specimen included in the plurality of specimens and the set of flow cell characteristics for each flow cell included in the group of flow cells. Each pool is associated with a lane included in a flow cell and includes at least one specimen included in the plurality of specimens, and each lane is associated with a specimen type.
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76.
公开(公告)号:US20230028783A1
公开(公告)日:2023-01-26
申请号:US17814229
申请日:2022-07-21
申请人: Tempus Labs, Inc.
发明人: Noah Zimmerman , Joel Dudley , Marcus Badgerly , Will Thompson , Greg Lee , Kipp Johnson , Arun Nemani
IPC分类号: A61B5/00 , A61B5/0205 , A61B5/024
摘要: A method includes the step of receiving electrocardiogram (ECG) data associated with a plurality of patients and an electrocardiogram configuration including a plurality of leads and a time interval. The electrocardiogram data includes, for each lead included in the plurality of leads, voltage data associated with at least a portion of the time interval. The method also includes training an artificial intelligence model on the ECG data, tuning the artificial intelligence model using data from a device having fewer leads than the plurality of leads, and evaluating the artificial intelligence model on additional data received from the ECG data.
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公开(公告)号:US11532397B2
公开(公告)日:2022-12-20
申请号:US17157974
申请日:2021-01-25
申请人: Tempus Labs, Inc.
发明人: Michael Ryan Lucas , Jonathan Ozeran , Jason L. Taylor , Louis E. Fernandes , Daniel Neems , Hunter Lane , Eric Lefkofsky
IPC分类号: G16H50/20 , G16H30/40 , G06Q40/08 , G16H50/70 , G06K9/62 , G06V10/75 , G06V30/416 , G06V30/418 , G06V30/10
摘要: A system, method, and mobile device application are configured to capture, with a mobile device, a document such as a next generation sequencing (NGS) report that includes NGS medical information about a genetically sequenced patient. The method includes receiving, from a mobile device, an image of a medical document comprising NGS medical information of the patient, extracting a first region from the image, extracting NGS medical information of the patient from the first region into a structured dataset, the extracted NGS medical information including at least one RNA expression, correlating a portion of the extracted NGS medical information that includes the at least one RNA expression with summarized medical information from a cohort of patients similar to the patient, and generating, for display on the mobile device, a clinical decision support report comprising the summarized medical information.
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公开(公告)号:US20220351805A1
公开(公告)日:2022-11-03
申请号:US17750055
申请日:2022-05-20
申请人: Tempus Labs, Inc.
发明人: Nike T. Beaubier , Joshua SK Bell , Catherine Igartua , Hailey B. Lefkofsky , Lee F. Langer , Joshua Drews
摘要: Disclosed herein are systems, methods, and compositions useful for determining cellular pathway disruption comprising the use of RNA expression level information. This determined level of disruption can assist in the identification of genetic variants that alter pathway activity, to correlate these variants with disease state and disease progression, and to identify those therapeutics most likely to be effective and which should be avoided.
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公开(公告)号:US20220341914A1
公开(公告)日:2022-10-27
申请号:US17857901
申请日:2022-07-05
申请人: Tempus Labs, Inc.
发明人: Brian M. Larsen , Michelle M. Stein , Luka A. Karginov , Ameen Salahudeen , Madhavi Kannan , Aly A. Khan , Verónica Sánchez Freire , Yilin Zhang
摘要: Methods, systems, and software are provided for using organoid cultures, e.g., patient-derived tumor organoid cultures, to improve treatment predictions and outcomes.
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80.
公开(公告)号:US20220328133A1
公开(公告)日:2022-10-13
申请号:US17527646
申请日:2021-11-16
申请人: Tempus Labs, Inc.
发明人: Justin David Finkle , Christine Lo , Robert Tell , Wei Zhu , Terri M. Driessen
摘要: Methods, systems, and software are provided for estimating a circulating tumor fraction for a test subject. Sequence reads are obtained from a panel-enriched sequencing reaction, including sequences for a first plurality of cfDNA fragments corresponding to probe sequences and a second plurality of cfDNA fragments not corresponding to probe sequences. Bin-level coverage ratios are determined from the sequences. Segments are formed by grouping adjacent bins based on similar coverage ratios and segment-level coverage ratios are determined based on bin-level coverage ratios for bins in the segment. For each simulated circulating tumor fraction in a plurality of circulating tumor fractions, segments are fitted to an integer copy state by identifying the integer copy state that best matches the segment-level coverage ratio. The circulating tumor fraction for the test subject is determined using error optimization between segment-level coverage ratios and integer copy states across the simulated circulated tumor fractions.
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