Patents by Inventor Hailey Lefkofsky
Hailey Lefkofsky 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).
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Publication number: 20240087747Abstract: 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: ApplicationFiled: November 17, 2023Publication date: March 14, 2024Inventors: Carin Fishel Queen, Hailey Lefkofsky, Ashraf Hafez, Julian Habib, Caroline Epstein
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Patent number: 11875903Abstract: 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: GrantFiled: August 30, 2021Date of Patent: January 16, 2024Assignee: Tempus Labs, Inc.Inventors: Jeff Schaeffer, Hailey Lefkofsky, Carin Fishel Queen, Abigail Lammers
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Patent number: 11830587Abstract: 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: GrantFiled: December 31, 2019Date of Patent: November 28, 2023Assignee: Tempus LabsInventors: Hailey Lefkofsky, Ashraf Hafez, Julian Habib, Carin Fishel Queen, Caroline Epstein
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Patent number: 11769572Abstract: 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: GrantFiled: December 31, 2020Date of Patent: September 26, 2023Assignee: Tempus Labs, Inc.Inventors: Hailey Lefkofsky, Ashraf Hafez, Julian Habib, Carin Fishel Queen, Caroline Epstein
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Publication number: 20230245788Abstract: A method for data intake and consumption includes the steps of: storing a plurality of micro-service programs, operational user application programs, and analytical user application programs in at least one computer system, storing system data received from a plurality of different sources in a database, the system data includes clinical records data in original forms, the clinical records data including cancer state information, treatment types, and treatment efficacy information, consuming, by each of the micro-service programs, defined subsets of the system data to generate a new data product, storing the new data product in a second database, and consuming the new data product by others of the micro-service programs or the operational or analytical user application programs.Type: ApplicationFiled: April 11, 2023Publication date: August 3, 2023Inventors: Shane Colley, Isaiah Simpson, Brian Reuter, Robert Tell, Hailey Lefkofsky, Hunter Lane, Kevin White, Nike Beaubier, Stephen Bush, Aly Khan, Denise Lau, Kaanan Shah, Eric Lefkofsky
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Patent number: 11705226Abstract: A method and system for storing user application programs and micro-service programs, for each of multiple patients that have cancerous cells and receive treatment, includes obtaining clinical records data in original forms, storing it in a semi-structured first database, generating sequencing data for the patient's cancerous and normal cells using a next generation genomic sequencer, storing the sequencing data in the first database, shaping at least some of the first database data to generate system structured data optimized for searching and including clinical record data, storing the structured data in a second database, for each user application program, selecting an application-specific subset of data from the second database and storing it in a structure optimized for application program interfacing in a third database, wherein an orchestration manager operatively connected to one or more micro-service programs receives status messages and initiates a respective micro-service program when program prereType: GrantFiled: October 18, 2019Date of Patent: July 18, 2023Assignee: Tempus Labs, Inc.Inventors: Shane Colley, Isaiah Simpson, Brian Reuter, Robert Tell, Hailey Lefkofsky, Hunter Lane, Kevin White, Nike Beaubier, Stephen Bush, Aly Khan, Denise Lau, Kaanan Shah, Eric Lefkofsky
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Publication number: 20230223121Abstract: A method and system comprising storing a set of user application programs each requiring an application specific subset of data to perform application processes and generate a respective genomic variant characterization for each of a plurality of patients with cancerous cells and receiving cancer treatment. The method including, obtaining clinical records data including cancer related information, generating genomic sequencing data for the patient's cancerous cells and normal cells, shaping at least a subset of the genomic sequencing data to generate system structured data. Storing the system structured data in a first database, selecting the application specific data from the first database, storing the application specific data in a second database for application program interfacing, receiving the respective genomic variant characterization from the user application program, and storing the genomic variant characterization from the user application program in a third database.Type: ApplicationFiled: March 22, 2023Publication date: July 13, 2023Inventors: Shane Colley, Isaiah Simpson, Brian Reuter, Robert Tell, Hailey Lefkofsky, Hunter Lane, Kevin White, Nike Beaubier, Stephen Bush, Aly Khan, Denise Lau, Kaanan Shah, Eric Lefkofsky
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Patent number: 11699507Abstract: 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: GrantFiled: July 22, 2021Date of Patent: July 11, 2023Assignee: Tempus Labs, Inc.Inventors: Hailey Lefkofsky, Ashraf Hafez, Julian Habib, Carin Fishel, Caroline Epstein
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Patent number: 11640859Abstract: A method and system for conducting genomic sequencing, the method comprising storing a set of user application programs wherein each of the programs requires an application specific subset of data, for each of a plurality of patients that have cancerous cells and that receive cancer treatment, obtaining clinical records data in original forms including cancer state information, treatment types and treatment efficacy information, storing the clinical records data in a semi-structured first database, for each patient, using a genomic sequencer to generate genomic sequencing data for the patient's cancerous cells and normal cells, storing the sequencing data in the first database, shaping at least a subset of the first database data to generate system structured data including clinical record data and sequencing data wherein the system structured data is optimized for searching, storing the system structured data in a second database, for each user application program, selecting the application specific subset oType: GrantFiled: October 17, 2019Date of Patent: May 2, 2023Assignee: Tempus Labs, Inc.Inventors: Shane Colley, Isaiah Simpson, Brian Reuter, Robert Tell, Hailey Lefkofsky, Hunter Lane, Kevin White, Nike Beaubier, Stephen Bush, Aly Khan, Denise Lau, Kaanan Shah, Eric Lefkofsky
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Patent number: 11309090Abstract: 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: GrantFiled: June 24, 2021Date of Patent: April 19, 2022Assignee: Tempus Labs, Inc.Inventors: Hailey Lefkofsky, Ashraf Hafez, Julian Habib, Carin Fishel, Caroline Epstein
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Publication number: 20220044826Abstract: 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: ApplicationFiled: August 30, 2021Publication date: February 10, 2022Inventors: Jeff Schaeffer, Hailey Lefkofsky, Carin Fishel, Abigail Lammers
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Publication number: 20210350937Abstract: 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: ApplicationFiled: July 22, 2021Publication date: November 11, 2021Inventors: Hailey Lefkofsky, Ashraf Hafez, Julian Habib, Carin Fishel, Caroline Epstein
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Publication number: 20210319908Abstract: 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: ApplicationFiled: June 24, 2021Publication date: October 14, 2021Inventors: Hailey Lefkofsky, Ashraf Hafez, Julian Habib, Carin Fishel, Caroline Epstein
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Publication number: 20210233664Abstract: A method and system for conducting genomic sequencing, the method comprising storing a set of user application programs wherein each of the programs requires an application specific subset of data, for each of a plurality of patients that have cancerous cells and that receive cancer treatment, obtaining clinical records data in original forms including cancer state information, treatment types and treatment efficacy information, storing the clinical records data in a semi-structured first database, for each patient, using a genomic sequencer to generate genomic sequencing data for the patient's cancerous cells and normal cells, storing the sequencing data in the first database, shaping at least a subset of the first database data to generate system structured data including clinical record data and sequencing data wherein the system structured data is optimized for searching, storing the system structured data in a second database, for each user application program, selecting the application specific subset oType: ApplicationFiled: October 17, 2019Publication date: July 29, 2021Inventors: Shane Colley, Isaiah Simpson, Brian Reuter, Bob Tell, Hailey Lefkofsky, Hunter Lane, Kevin White, Nike Beaubier, Stephen Bush, Aly Khan, Denise Lau, Kaanan Shah, Eric Lefkofsky
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Patent number: 11037685Abstract: 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: GrantFiled: December 31, 2020Date of Patent: June 15, 2021Assignee: Tempus Labs, Inc.Inventors: Hailey Lefkofsky, Ashraf Hafez, Julian Habib, Carin Fishel, Caroline Epstein
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Publication number: 20210125731Abstract: 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: ApplicationFiled: December 31, 2020Publication date: April 29, 2021Inventors: Hailey Lefkofsky, Ashraf Hafez, Julian Habib, Carin Fishel, Caroline Epstein
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Publication number: 20210125730Abstract: 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: ApplicationFiled: December 31, 2020Publication date: April 29, 2021Inventors: Hailey Lefkofsky, Ashraf Hafez, Julian Habib, Carin Fishel, Caroline Epstein
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Publication number: 20210090694Abstract: A method and system for storing user application programs and micro-service programs, for each of multiple patients that have cancerous cells and receive treatment, includes obtaining clinical records data in original forms, storing it in a semi-structured first database, generating sequencing data for the patient's cancerous and normal cells using a next generation genomic sequencer, storing the sequencing data in the first database, shaping at least some of the first database data to generate system structured data optimized for searching and including clinical record data, storing the structured data in a second database, for each user application program, selecting an application-specific subset of data from the second database and storing it in a structure optimized for application program interfacing in a third database, wherein an orchestration manager operatively connected to one or more micro-service programs receives status messages and initiates a respective micro-service program when program prereType: ApplicationFiled: October 18, 2019Publication date: March 25, 2021Inventors: Shane Colley, Isaiah Simpson, Brian Reuter, Bob Tell, Hailey Lefkofsky, Hunter Lane, Kevin White, Nike Beaubier, Stephen Bush, Aly Khan, Denise Lau, Kaanan Shah, Eric Lefkofsky
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Publication number: 20200211716Abstract: 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: ApplicationFiled: December 31, 2019Publication date: July 2, 2020Inventors: Hailey Lefkofsky, Ashraf Hafez, Julian Habib, Carin Fishel, Caroline Epstein