- 专利标题： Method and process for predicting and analyzing patient cohort response, progression, and survival
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申请号： US17139931申请日： 2020-12-31
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公开(公告)号： US11769572B2公开(公告)日： 2023-09-26
- 发明人: Hailey Lefkofsky , Ashraf Hafez , Julian Habib , Carin Fishel Queen , Caroline Epstein
- 申请人： Tempus Labs, Inc.
- 申请人地址： US IL Chicago
- 专利权人： Tempus Labs, Inc.
- 当前专利权人： Tempus Labs, Inc.
- 当前专利权人地址： US IL Chicago
- 代理机构： QUARLES & BRADY LLP
- 主分类号： G16H10/20
- 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
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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