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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 11875903 B1

PDFFull Text
Date of Patent:
Jan. 16, 2024

Filed:

Aug. 30, 2021

Method and process for predicting and analyzing patient cohort response, progression, and survival

Applicant:

Tempus Labs, Inc., Chicago, IL (US);

Inventors:

Jeff Schaeffer, Chicago, IL (US);

Hailey Lefkofsky, Chicago, IL (US);

Carin Fishel Queen, Chicago, IL (US);

Abigail Lammers, Chicago, IL (US);

Assignee:

Tempus Labs, Inc., Chicago, IL (US);

Attorney:

Quarles & Brady LLP

Primary Examiner:

Karen A Hranek

Int. Cl.
CPC ...
G16H 50/70 (2018.01); G16H 10/60 (2018.01); G06F 18/22 (2023.01); G16H 50/20 (2018.01); G06N 20/00 (2019.01); G06F 17/18 (2006.01); G16H 30/00 (2018.01); G16H 80/00 (2018.01); G06F 21/60 (2013.01); G06F 21/62 (2013.01); G06F 18/24 (2023.01); G06F 18/214 (2023.01); G06N 5/01 (2023.01);
U.S. Cl.
CPC ...
G16H 50/70 (2018.01); G06F 17/18 (2013.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06F 18/24 (2023.01); G06F 21/604 (2013.01); G06F 21/62 (2013.01); G06N 5/01 (2023.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 30/00 (2018.01); G16H 50/20 (2018.01); G16H 80/00 (2018.01);
Abstract

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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