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公开(公告)号:US11629385B2
公开(公告)日:2023-04-18
申请号:US16693117
申请日:2019-11-22
申请人: Tempus Labs, Inc.
IPC分类号: C12Q1/68 , C12P19/34 , C12Q1/6886 , C12N5/071 , G16H50/30 , C12M1/32 , G01N33/50 , G16B20/20 , C12N5/09 , C12Q1/02 , C12Q1/6806 , C12Q1/6816 , C12Q1/6844 , C12Q1/6869
摘要: Provided herein are novel organoid culture media, organoid culture systems, and methods of culturing tumor organoids using the subject organoid culture media. Also provided herein are tumor organoids developed using such organoid culture systems, methods for assessing the clonal diversity of the tumor organoids, and methods for using such tumor organoids, for example, for tumor modelling and drug development applications. In particular embodiments, the tumor organoid culture media provided herein is substantially free of R-spondins (e.g., R-spondin1).
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公开(公告)号:US20220384044A1
公开(公告)日:2022-12-01
申请号:US17829351
申请日:2022-05-31
发明人: Alvaro E. Ulloa-Cerna , Noah Zimmerman , Greg Lee , Christopher M. Haggerty , Brandon K. Fomwalt , Ruijun Chen , John Pfeifer , Chris Good
摘要: A method for determining cardiology disease risk from electrocardiogram trace data and clinical data includes receiving electrocardiogram trace data associated with a patient, receiving the patient's clinical data, providing both sets of data to a trained machine learning composite model that is trained to evaluate the data with respect to each disease of a set of cardiology diseases including three or more of cardiac amyloidosis, aortic stenosis, aortic regurgitation, mitral stenosis, mitral regurgitation, tricuspid regurgitation, abnormal reduced ejection fraction, or abnormal interventricular septal thickness, generating, by the model and based on the evaluation, a composite risk score reflecting a likelihood of the patient being diagnosed with one or more of the cardiology diseases within a predetermined period of time from when the electrocardiogram trace data was generated, and outputting the composite risk score to at least one of a memory or a display.
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公开(公告)号:US20220367010A1
公开(公告)日:2022-11-17
申请号:US17859599
申请日:2022-07-07
申请人: Tempus Labs, Inc.
摘要: Methods, systems, and software are provided for monitoring a cancer condition of a test subject. The method includes obtaining a liquid biopsy sample from the subject at a second time point, occurring after a first time point, containing cell-free DNA fragments. Low-pass whole genome methylation sequencing of the cell-free DNA fragments is performed to obtain nucleic acid sequences having a methylation pattern for a corresponding cell-free DNA fragment. The nucleic acid sequences are mapped to a location on a reference genome. Methylation metrics are determined based on the methylation patterns and mapped locations of the nucleic acid sequences. A circulating tumor fraction is estimated from the methylation metrics, and the estimate is compared to an estimate of the circulating tumor fraction for the test subject at the first time point.
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公开(公告)号:US20220319652A1
公开(公告)日:2022-10-06
申请号:US17837025
申请日:2022-06-10
申请人: Tempus Labs, Inc.
发明人: Jonathan Ozeran
IPC分类号: G16H10/60 , G16H50/20 , G06Q50/22 , G06F40/186
摘要: A computer program product includes multiple microservices for interrogating clinical records according to one or more projects associated with patient datasets obtained from electronic copies of source documents from the clinical records. A first microservice generates a user interface including a first portion displaying source documents and, concurrently, a second portion displaying structured patient data fields organized into categories for entering structured patient data derived from the source documents displayed in the first portion. Categories and their organization are defined by a template and include cancer diagnosis, staging, tumor size, genetic results, and date of recurrence. A second microservice validates abstracted patient data according to validation rules applied to the categories, validation rules being assigned to the projects and performed on the categories as they are populated. A third microservice provides abstraction review performed by an assigned abstractor or an abstraction manager and spans one or more of the projects.
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公开(公告)号:US20220261668A1
公开(公告)日:2022-08-18
申请号:US17651002
申请日:2022-02-14
申请人: Tempus Labs, Inc.
发明人: Martin Stumpe , Alena Harley
IPC分类号: G06N5/04 , G06F16/28 , G06F16/2457
摘要: An artificial intelligence engine for directed hypothesis generation and ranking uses multiple heterogeneous knowledge graphs integrating disease-specific multi-omic data specific to a patient or cohort of patients. The engine also uses a knowledge graph representation of ‘what the world knows’ in the relevant bio-medical subspace. The engine applies a hypothesis generation module, a semantic search analysis component to allow fast acquiring and construction of cohorts, as well as aggregating, summarizing, visualizing and returning ranked multi-omic alterations in terms of clinical actionability and degree of surprise for individual samples and cohorts. The engine also applies a moderator module that ranks and filters hypotheses, where the most promising hypothesis can be presented to domain experts (e.g., physicians, oncologists, pathologists, radiologists and researchers) for feedback. The engine also uses a continuous integration module that iteratively refines and updates entities and relationships and their representations to yield higher quality of hypothesis generation over time.
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公开(公告)号:US20220183571A1
公开(公告)日:2022-06-16
申请号:US17537481
申请日:2021-11-29
申请人: Tempus Labs, Inc.
发明人: Kipp Johnson , Tanner Carbonati
摘要: Computer-implemented systems and methods are provided for supplying electrocardiograms and identified patient information to an artificial intelligence engine comprising a neural network configured with a fractional flow reserve prediction model and that predicts a calculated fractional flow reserve for the patient, from which a predicted occurrence of one or more cardiac events is determined.
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公开(公告)号:US11348661B2
公开(公告)日:2022-05-31
申请号:US17139765
申请日:2020-12-31
申请人: TEMPUS LABS, INC.
发明人: Stephen Yip , Irvin Ho , Lingdao Sha , Boleslaw Osinski , Aly Azeem Khan , Andrew J. Kruger , Michael Carlson , Abel Greenwald , Caleb Willis , Andrew Westley , Ryan Jones , Brett Mahon
IPC分类号: G16B30/00 , G16B50/30 , C12Q1/6869
摘要: A method for qualifying a specimen prepared on one or more hematoxylin and eosin (H&E) slides by assessing an expected yield of nucleic acids for tumor cells and providing associated unstained slides for subsequent nucleic acid analysis is provided.
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公开(公告)号:US11348240B2
公开(公告)日:2022-05-31
申请号:US17139798
申请日:2020-12-31
申请人: TEMPUS LABS, INC.
发明人: Stephen Yip , Irvin Ho , Lingdao Sha , Boleslaw Osinski , Aly Azeem Khan , Andrew J. Kruger , Michael Carlson , Abel Greenwald , Caleb Willis , Andrew Westley , Ryan Jones , Brett Mahon
摘要: A method for predicting an expected yield of nucleic acid from tumor cells within a dissection boundary on a hematoxylin and eosin (H&E) slide is provided.
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公开(公告)号:US20220154284A1
公开(公告)日:2022-05-19
申请号:US17455876
申请日:2021-11-19
申请人: Tempus Labs, Inc.
发明人: Denise Lau , Aly A. Khan , Yinjie Gao , Michelle Marie Stein , Ameen Salahudeen , Timothy Rand , Sonal Khare
IPC分类号: C12Q1/6886 , G16H50/20 , C12Q1/6869
摘要: Disclosed herein are systems, methods, and compositions for treating a subject diagnosed with, or suffering from cancer. In some embodiments, the method comprises determining whether a tumor sample from the subject includes a cytotoxic gene signature, and treating the subject based on the determination. In some embodiments, the subject has or is suspected of having a loss of heterozygosity in human leukocyte antigen (HLA) class I genes. In some embodiments, the therapy comprises one or more checkpoint inhibitors. In some embodiments, the cancer is colorectal, uterine, stomach, lung, skin, head or neck, or non-small cell lung carcinoma.
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80.
公开(公告)号:US11295841B2
公开(公告)日:2022-04-05
申请号:US17001673
申请日:2020-08-24
申请人: Tempus Labs, Inc.
发明人: Mathew Barber , Ryan Mork
摘要: In one aspect, the present disclosure provides a method for labeling one or more medications concurrently administered to a patient as a line of therapy. The method includes identifying medical records of the patient from a plurality of digital records, creating, from the subset of medical records, a plurality of treatment intervals including at least one medication administered to the patient and a time interval, associating medications of the one or more treatments with a respective treatment interval when the administration of the medication falls within the time interval, refining the time interval of a respective treatment interval when a treatment of the one or more treatments falls outside the time interval but within an extension period, identifying one or more potential lines of therapy from the plurality of treatment intervals, and labeling the potential line of therapy having the highest maximum likelihood estimation as the line of therapy.
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