Patents by Inventor Gerrad Jones

Gerrad Jones 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).

  • MACHINE-LEARNING METHOD AND APPARATUS TO ISOLATE CHEMICAL SIGNATURES
    Publication number: 20240404653
    Abstract: A processing workflow centered on machine-learning algorithms that identifies a number of chemical features that can best distinguish the presence or absence of a chemical source. These chemical features are a chemical fingerprint that is unique to each source. The analysis workflow is rapid (e.g., fingerprints can be generated in minutes). The analysis workflow has wide-ranging applications such as detecting markers of pollution sources in rivers and fish tissues, forest pathogen outbreaks, and hard-to-diagnose diseases.
    Type: Application
    Filed: August 12, 2024
    Publication date: December 5, 2024
    Applicant: Oregon State University
    Inventor: Gerrad Jones
  • Machine-learning method and apparatus to isolate chemical signatures
    Patent number: 12094579
    Abstract: A processing workflow centered on machine-learning algorithms that identifies a number of chemical features that can best distinguish the presence or absence of a chemical source. These chemical features are a chemical fingerprint that is unique to each source. The analysis workflow is rapid (e.g., fingerprints can be generated in minutes). The analysis workflow has wide-ranging applications such as detecting markers of pollution sources in rivers and fish tissues, forest pathogen outbreaks, and hard-to-diagnose diseases.
    Type: Grant
    Filed: March 29, 2021
    Date of Patent: September 17, 2024
    Assignee: Oregon State University
    Inventor: Gerrad Jones
  • MACHINE-LEARNING METHOD AND APPARATUS TO ISOLATE CHEMICAL SIGNATURES
    Publication number: 20210313016
    Abstract: A processing workflow centered on machine-learning algorithms that identifies a number of chemical features that can best distinguish the presence or absence of a chemical source. These chemical features are a chemical fingerprint that is unique to each source. The analysis workflow is rapid (e.g., fingerprints can be generated in minutes). The analysis workflow has wide-ranging applications such as detecting markers of pollution sources in rivers and fish tissues, forest pathogen outbreaks, and hard-to-diagnose diseases.
    Type: Application
    Filed: March 29, 2021
    Publication date: October 7, 2021
    Applicant: Oregon State University
    Inventor: Gerrad Jones