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公开(公告)号：US20210319906A1
公开(公告)日：2021-10-14
申请号：US17227120
申请日：2021-04-09
申请人： Tempus Labs, Inc.
发明人： Ashraf Hafez , Martin Christian Stumpe , Nike Beaubier , Daniel Neems , Caroline Epstein , Adrian William George Lange
摘要： Systems and methods are provided for predicting metastasis of a cancer in a subject. A plurality of data elements for the subject's cancer is obtained, including sequence features comprising relative abundance values for gene expression in a cancer biopsy of the subject, optional personal characteristics about the subject, and optional clinical features related to the stage, histopathological grade, diagnosis, symptom, comorbidity, and/or treatment of the cancer in the subject, and/or a temporal element associated therewith. One or more models are applied to the plurality of data elements, determining one or more indications of whether the cancer will metastasize. A clinical report comprising the one or more indications is generated.
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2.发明授权公开(公告)号：US11309090B2
公开(公告)日：2022-04-19
申请号：US17356738
申请日：2021-06-24
申请人： Tempus Labs, Inc.
发明人： Hailey Lefkofsky , Ashraf Hafez , Julian Habib , Carin Fishel , Caroline Epstein
IPC分类号： G16H50/70 , G16H50/20 , G06N20/00 , G06K9/62 , G06F17/18 , G06N5/00 , G16H10/60 , G16H30/00 , G16H80/00 , G06F21/60 , G06F21/62
摘要： A system and method for analyzing a data store of de-identified patient data to generate one or more dynamic user interfaces usable to predict an expected response of a particular patient population or cohort when provided with a certain treatment. The automated analysis of patterns occurring in patient clinical, molecular, phenotypic, and response data, as facilitated by the various user interfaces, provides an efficient, intuitive way for clinicians to evaluate large data sets to aid in the potential discovery of insights of therapeutic significance.
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3.发明授权公开(公告)号：US11769572B2
公开(公告)日：2023-09-26
申请号：US17139931
申请日：2020-12-31
申请人： Tempus Labs, Inc.
IPC分类号： G16H10/20 , G16H50/70 , G16H50/20 , G06N20/00 , G06F17/18 , G16H10/60 , G16H30/00 , G16H80/00 , G06F21/62 , G06F18/22 , G06F18/24 , G06F18/214 , G06F18/2115 , G06F18/243 , G06N5/01
CPC分类号： G16H10/20 , G06F17/18 , G06F18/214 , G06F18/2115 , G06F18/22 , G06F18/24 , G06F18/24323 , G06F21/62 , G06N5/01 , G06N20/00 , G16H10/60 , G16H30/00 , G16H50/20 , G16H50/70 , G16H80/00
摘要： A system and method for analyzing a data store of de-identified patient data to generate one or more dynamic user interfaces usable to predict an expected response of a particular patient population or cohort when provided with a certain treatment. The automated analysis of patterns occurring in patient clinical, molecular, phenotypic, and response data, as facilitated by the various user interfaces, provides an efficient, intuitive way for clinicians to evaluate large data sets to aid in the potential discovery of insights of therapeutic significance.
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公开(公告)号：US20220148736A1
公开(公告)日：2022-05-12
申请号：US17558479
申请日：2021-12-21
申请人： Tempus Labs, Inc.
发明人： Ashraf Hafez , Martin Christian Stumpe , Nike Beaubier , Daniel Neems , Caroline Epstein , Adrian William George Lange
摘要： Systems and methods are provided for predicting metastasis of a cancer in a subject. A plurality of data elements for the subject's cancer is obtained, including sequence features comprising relative abundance values for gene expression in a cancer biopsy of the subject, optional personal characteristics about the subject, and optional clinical features related to the stage, histopathological grade, diagnosis, symptom, comorbidity, and/or treatment of the cancer in the subject, and/or a temporal element associated therewith. One or more models are applied to the plurality of data elements, determining one or more indications of whether the cancer will metastasize. A clinical report comprising the one or more indications is generated.
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5.发明申请公开(公告)号：US20210319908A1
公开(公告)日：2021-10-14
申请号：US17356738
申请日：2021-06-24
申请人： Tempus Labs, Inc.
发明人： Hailey Lefkofsky , Ashraf Hafez , Julian Habib , Carin Fishel , Caroline Epstein
IPC分类号： G16H50/70 , G16H50/20 , G06N20/00 , G06K9/62 , G06F17/18 , G06N5/00 , G16H10/60 , G16H30/00 , G16H80/00 , G06F21/60 , G06F21/62
摘要： A system and method for analyzing a data store of de-identified patient data to generate one or more dynamic user interfaces usable to predict an expected response of a particular patient population or cohort when provided with a certain treatment. The automated analysis of patterns occurring in patient clinical, molecular, phenotypic, and response data, as facilitated by the various user interfaces, provides an efficient, intuitive way for clinicians to evaluate large data sets to aid in the potential discovery of insights of therapeutic significance.
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公开(公告)号：US11244763B2
公开(公告)日：2022-02-08
申请号：US17373451
申请日：2021-07-12
申请人： Tempus Labs, Inc.
发明人： Ashraf Hafez , Martin Christian Stumpe , Nike Beaubier , Daniel Neems , Caroline Epstein , Adrian William George Lange
摘要： Systems and methods are provided for predicting metastasis of a cancer in a subject. A plurality of data elements for the subject's cancer is obtained, including sequence features comprising relative abundance values for gene expression in a cancer biopsy of the subject, optional personal characteristics about the subject, and optional clinical features related to the stage, histopathological grade, diagnosis, symptom, comorbidity, and/or treatment of the cancer in the subject, and/or a temporal element associated therewith. One or more models are applied to the plurality of data elements, determining one or more indications of whether the cancer will metastasize. A clinical report comprising the one or more indications is generated.
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公开(公告)号：US20210343419A1
公开(公告)日：2021-11-04
申请号：US17373451
申请日：2021-07-12
申请人： Tempus Labs, Inc.
发明人： Ashraf Hafez , Martin Christian Stumpe , Nike Beaubier , Daniel Neems , Caroline Epstein , Adrian William George Lange
摘要： Systems and methods are provided for predicting metastasis of a cancer in a subject. A plurality of data elements for the subject's cancer is obtained, including sequence features comprising relative abundance values for gene expression in a cancer biopsy of the subject, optional personal characteristics about the subject, and optional clinical features related to the stage, histopathological grade, diagnosis, symptom, comorbidity, and/or treatment of the cancer in the subject, and/or a temporal element associated therewith. One or more models are applied to the plurality of data elements, determining one or more indications of whether the cancer will metastasize. A clinical report comprising the one or more indications is generated.
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公开(公告)号：US11145416B1
公开(公告)日：2021-10-12
申请号：US17227120
申请日：2021-04-09
申请人： Tempus Labs, Inc.
发明人： Ashraf Hafez , Martin Christian Stumpe , Nike Beaubier , Daniel Neems , Caroline Epstein , Adrian William George Lange
摘要： Systems and methods are provided for predicting metastasis of a cancer in a subject. A plurality of data elements for the subject's cancer is obtained, including sequence features comprising relative abundance values for gene expression in a cancer biopsy of the subject, optional personal characteristics about the subject, and optional clinical features related to the stage, histopathological grade, diagnosis, symptom, comorbidity, and/or treatment of the cancer in the subject, and/or a temporal element associated therewith. One or more models are applied to the plurality of data elements, determining one or more indications of whether the cancer will metastasize. A clinical report comprising the one or more indications is generated.
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公开(公告)号：US20210142910A1
公开(公告)日：2021-05-13
申请号：US16679054
申请日：2019-11-08
申请人： Tempus Labs, Inc.
发明人： Ashraf Hafez , Caroline Epstein
摘要： Systems and methods are provided for implementing a tool for evaluating an effect on an event, such as a medication or treatment, on a subject's condition, using a propensity model that identifies matched treatment and control cohorts within a base population of subjects. A propensity value threshold, which can be obtained based on user input, can be used to adjust the selection of subjects for treatment and control cohorts. The tool allows analyzing features of the subjects in the treatment and control groups, and further allows for evaluation and comparison of survival objectives of subjects in the treatment and control groups.
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10.发明申请公开(公告)号：US20210125731A1
公开(公告)日：2021-04-29
申请号：US17139931
申请日：2020-12-31
申请人： Tempus Labs, Inc.
发明人： Hailey Lefkofsky , Ashraf Hafez , Julian Habib , Carin Fishel , Caroline Epstein
摘要： A system and method for analyzing a data store of de-identified patient data to generate one or more dynamic user interfaces usable to predict an expected response of a particular patient population or cohort when provided with a certain treatment. The automated analysis of patterns occurring in patient clinical, molecular, phenotypic, and response data, as facilitated by the various user interfaces, provides an efficient, intuitive way for clinicians to evaluate large data sets to aid in the potential discovery of insights of therapeutic significance.
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