Patents by Inventor Andrea Melissa Boudreau

Andrea Melissa Boudreau 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).

  • AUTOMATIC GENERATION OF SCIENTIFIC ARTICLE METADATA
    Publication number: 20210279421
    Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.
    Type: Application
    Filed: January 27, 2021
    Publication date: September 9, 2021
    Applicant: Praedicat, Inc.
    Inventors: Andrea Melissa Boudreau, Lauren Caston, Naresh Chebolu, Adam Grossman, Liyang Hao, David Loughran, Michael Ragland, Robert Reville, Chun-Yuen Teng
  • Automatic generation of scientific article metadata
    Patent number: 10909323
    Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.
    Type: Grant
    Filed: March 9, 2020
    Date of Patent: February 2, 2021
    Assignee: Praedicat, Inc.
    Inventors: Andrea Melissa Boudreau, Lauren Caston, Naresh Chebolu, Adam Grossman, Liyang Hao, David Loughran, Michael Ragland, Robert Reville, Chun-Yuen Teng
  • AUTOMATIC GENERATION OF SCIENTIFIC ARTICLE METADATA
    Publication number: 20200293718
    Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.
    Type: Application
    Filed: March 9, 2020
    Publication date: September 17, 2020
    Inventors: Andrea Melissa Boudreau, Lauren Caston, Naresh Chebolu, Adam Grossman, Liyang Hao, David Loughran, Michael Ragland, Robert Reville, Chun-Yuen Teng
  • Live updating visualization of causation scores based on scientific article metadata
    Patent number: 10585990
    Abstract: Examples of the disclosure are directed to systems and methods of using natural language processing techniques to automatically assign metadata to articles as they are published. The automatically-assigned metadata can then feed into the algorithms that calculate updated causation scores for agent-outcome hypotheses, powering live visualizations of the data that update automatically as new scientific articles become available.
    Type: Grant
    Filed: March 15, 2019
    Date of Patent: March 10, 2020
    Assignee: Praedicat, Inc.
    Inventors: Andrea Melissa Boudreau, Lauren Caston, Naresh Chebolu, Adam Grossman, Liyang Hao, David Loughran, Michael Ragland, Robert Reville, Chun-Yuen Teng