-
1.
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.
-
2.
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.
-
3.
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.
-
4.
公开(公告)号:US20210350937A1
公开(公告)日:2021-11-11
申请号:US17382343
申请日:2021-07-22
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.
-
5.
公开(公告)号:US11037685B2
公开(公告)日:2021-06-15
申请号:US17139929
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.
-
6.
公开(公告)号:US20210125730A1
公开(公告)日:2021-04-29
申请号:US17139929
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.
-
-
-
-
-