Patents by Inventor Joshua Michael Stanley

Joshua Michael Stanley 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).

  • Intelligent planning, execution, and reporting of clinical trials
    Patent number: 12057201
    Abstract: Machine learning based methods for planning, execution, and reporting of clinical trials, incorporating a patient burden index are disclosed. In one aspect, there is a method for determining a patient burden index. The method includes parsing a protocol for a clinical trial. The method further includes providing factor data for each of a plurality of patients. The method further includes calculating a patient burden index for each of the plurality of patients based on the parsed protocol and the provided factor data for each of the plurality of patients.
    Type: Grant
    Filed: April 20, 2023
    Date of Patent: August 6, 2024
    Assignee: ZS Associates, Inc.
    Inventors: Kim Marie Walpole, Michael Joseph Nicoletti, Joshua Michael Stanley, Jason Edward Wallace, Thomas Ian Walpole, David Bruce Fogel
  • INTELLIGENT PLANNING, EXECUTION, AND REPORTING OF CLINICAL TRIALS
    Publication number: 20230260604
    Abstract: Machine learning based methods for planning, execution, and reporting of clinical trials, incorporating a patient burden index are disclosed. In one aspect, there is a method for determining a patient burden index. The method includes parsing a protocol for a clinical trial. The method further includes providing factor data for each of a plurality of patients. The method further includes calculating a patient burden index for each of the plurality of patients based on the parsed protocol and the provided factor data for each of the plurality of patients.
    Type: Application
    Filed: April 20, 2023
    Publication date: August 17, 2023
    Applicant: ZS Associates, Inc.
    Inventors: Kim Marie Walpole, Michael Joseph Nicoletti, Joshua Michael Stanley, Jason Edward Wallace, Thomas Ian Walpole, David Bruce Fogel
  • INTELLIGENT PLANNING, EXECUTION, AND REPORTING OF CLINICAL TRIALS
    Publication number: 20220310216
    Abstract: Machine learning based methods for planning, execution, and reporting of clinical trials, incorporating a patient burden index are disclosed. In one aspect, there is a method for determining a patient burden index. The method includes parsing a protocol for a clinical trial. The method further includes providing factor data for each of a plurality of patients. The method further includes calculating a patient burden index for each of the plurality of patients based on the parsed protocol and the provided factor data for each of the plurality of patients.
    Type: Application
    Filed: April 11, 2022
    Publication date: September 29, 2022
    Inventors: Kim Marie Walpole, Michael Joseph Nicoletti, Joshua Michael Stanley, Jason Edward Wallace, Thomas Ian Walpole, David Bruce Fogel
  • Intelligent planning, execution, and reporting of clinical trials
    Patent number: 11328795
    Abstract: Machine learning based methods for planning, execution, and reporting of clinical trials, incorporating a patient burden index are disclosed. In one aspect, there is a method for determining a patient burden index. The method includes parsing a protocol for a clinical trial. The method further includes providing factor data for each of a plurality of patients. The method further includes calculating a patient burden index for each of the plurality of patients based on the parsed protocol and the provided factor data for each of the plurality of patients.
    Type: Grant
    Filed: January 3, 2019
    Date of Patent: May 10, 2022
    Assignee: TRIALS.AI, INC.
    Inventors: Kim Marie Walpole, Michael Joseph Nicoletti, Joshua Michael Stanley, Jason Edward Wallace, Thomas Ian Walpole, David Bruce Fogel
  • INTELLIGENT PLANNING, EXECUTION, AND REPORTING OF CLINICAL TRIALS
    Publication number: 20190206521
    Abstract: Machine learning based methods for planning, execution, and reporting of clinical trials, incorporating a patient burden index are disclosed. In one aspect, there is a method for determining a patient burden index. The method includes parsing a protocol for a clinical trial. The method further includes providing factor data for each of a plurality of patients. The method further includes calculating a patient burden index for each of the plurality of patients based on the parsed protocol and the provided factor data for each of the plurality of patients.
    Type: Application
    Filed: January 3, 2019
    Publication date: July 4, 2019
    Inventors: Kim Marie Walpole, Michael Joseph Nicoletti, Joshua Michael Stanley, Jason Edward Wallace, Thomas Ian Walpole, David Bruce Fogel