Patents by Inventor Carin Fishel Queen

Carin Fishel Queen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • METHOD AND PROCESS FOR PREDICTING AND ANALYZING PATIENT COHORT RESPONSE, PROGRESSION, AND SURVIVAL
    Publication number: 20240087747
    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.
    Type: Application
    Filed: November 17, 2023
    Publication date: March 14, 2024
    Inventors: Carin Fishel Queen, Hailey Lefkofsky, Ashraf Hafez, Julian Habib, Caroline Epstein
  • Method and process for predicting and analyzing patient cohort response, progression, and survival
    Patent number: 11875903
    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.
    Type: Grant
    Filed: August 30, 2021
    Date of Patent: January 16, 2024
    Assignee: Tempus Labs, Inc.
    Inventors: Jeff Schaeffer, Hailey Lefkofsky, Carin Fishel Queen, Abigail Lammers
  • Method and process for predicting and analyzing patient cohort response, progression, and survival
    Patent number: 11830587
    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.
    Type: Grant
    Filed: December 31, 2019
    Date of Patent: November 28, 2023
    Assignee: Tempus Labs
    Inventors: Hailey Lefkofsky, Ashraf Hafez, Julian Habib, Carin Fishel Queen, Caroline Epstein
  • Method and process for predicting and analyzing patient cohort response, progression, and survival
    Patent number: 11769572
    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.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: September 26, 2023
    Assignee: Tempus Labs, Inc.
    Inventors: Hailey Lefkofsky, Ashraf Hafez, Julian Habib, Carin Fishel Queen, Caroline Epstein
  • METHOD AND PROCESS FOR PREDICTING AND ANALYZING PATIENT COHORT RESPONSE, PROGRESSION, AND SURVIVAL
    Publication number: 20230187074
    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.
    Type: Application
    Filed: February 10, 2023
    Publication date: June 15, 2023
    Inventors: Frank Austin Nothaft, Mateo Paredes Sepulveda, Jesus Pedrosa Guerrero, Abigail Michelle Lammers, Carin Fishel Queen, Daniel Philip Leavitt, Lorenzo Carlo Grego, Sowmya Gowri Ballakur, Peter Raynesford Halloran