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    Artificial Intelligence Based Cardiac Event Predictor Systems and Methods
    14.
    发明申请
    Artificial Intelligence Based Cardiac Event Predictor Systems and Methods 有权

    公开(公告)号：US20220384045A1

    公开(公告)日：2022-12-01

    申请号：US17829357

    申请日：2022-05-31

    申请人： Tempus Labs, Inc.

    发明人： Noah Zimmerman

    IPC分类号： G16H50/30 ,  G16H50/20

    摘要： A method and system for predicting the likelihood that a patient will suffer from a cardiac event is provided. The method includes receiving electrocardiogram data associated with the patient, providing at least a portion of the electrocardiogram data to a trained model, receiving a risk score indicative of the likelihood the patient will suffer from the cardiac event within a predetermined period of time from when the electrocardiogram data was generated, and outputting the risk score to at least one of a memory or a display for viewing by a medical practitioner or healthcare administrator. The system includes at least one processor executing instructions to carry out the steps of the method.

    METHODS AND SYSTEMS FOR DYNAMIC VARIANT THRESHOLDING IN A LIQUID BIOPSY ASSAY
    15.
    发明申请
    METHODS AND SYSTEMS FOR DYNAMIC VARIANT THRESHOLDING IN A LIQUID BIOPSY ASSAY 有权

    公开(公告)号：US20220367006A1

    公开(公告)日：2022-11-17

    申请号：US17858872

    申请日：2022-07-06

    申请人： Tempus Labs, Inc.

    发明人： Robert Tell ,  Wei Zhu ,  Justin David Finkle ,  Christine Lo ,  Terri M. Driessen

    IPC分类号： G16B30/10 ,  G16B20/40 ,  G16B20/20

    摘要： Methods, systems, and software are provided for validating a somatic sequence variant in a subject having a cancer condition. Sequence reads are obtained from sequencing cell-free DNA fragments in a liquid biopsy sample of the subject. Sequence reads are aligned to a reference sequence. A variant allele fragment count and locus fragment count are identified for a candidate variant that maps to a locus in the reference sequence. The variant allele fragment count is compared against a dynamic variant count threshold for the locus. The threshold is based on a pre-test odds of a positive variant call for the locus, based on the prevalence of variants in a genomic region including the locus in a cohort of subjects having the cancer condition. The somatic sequence variant in the subject is validated, or rejected, when the variant allele fragment count for the candidate variant satisfies, or does not satisfy, the threshold.

    Unsupervised Learning And Prediction Of Lines Of Therapy From High-Dimensional Longitudinal Medications Data
    17.
    发明申请
    Unsupervised Learning And Prediction Of Lines Of Therapy From High-Dimensional Longitudinal Medications Data 有权

    公开(公告)号：US20220189600A1

    公开(公告)日：2022-06-16

    申请号：US17686396

    申请日：2022-03-03

    申请人： Tempus Labs, Inc.

    发明人： Mathew Barber ,  Ryan Mork

    IPC分类号： G16H20/10 ,  G16H10/60 ,  G06N20/00 ,  G16H50/30 ,  G06V30/413

    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.

    Systems and Methods for Homogenization of Disparate Datasets
    19.
    发明申请
    Systems and Methods for Homogenization of Disparate Datasets 有权

    公开(公告)号：US20220059190A1

    公开(公告)日：2022-02-24

    申请号：US17405025

    申请日：2021-08-18

    申请人： Tempus Labs, Inc.

    发明人： Talal Ahmed ,  Raphael Pelossof ,  Stephane Wenric ,  Mark Carty

    IPC分类号： G16B50/20 ,  G06K9/62

    摘要： A method for transferring a dataset-specific nature of a first dataset with sequencing results for a first plurality of specimen to a second dataset with sequencing results for a second plurality of specimen includes receiving a first set of adaptation factors of the first dataset that include two or more eigenvectors, where the sequencing cannot be reconstructed from the first set of adaptation factors without access to the first dataset. The method also includes generating a second set of adaptation factors of the second dataset that include two or more eigenvectors of the second dataset. The method also includes generating an adapted second dataset by adapting the dataset-specific nature of the second dataset to the dataset-specific nature of the second dataset based at least in part on the first and second sets of adaptation factors, and providing the adapted second dataset to the first entity.