Patents by Inventor Jason LOCKE

Jason LOCKE 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).

  • Publication number: 20250045922
    Abstract: Systems and methods are disclosed for analyzing an image of a slide corresponding to a specimen, the method including receiving at least one digitized image of a pathology specimen; determining, using the digitized image at an artificial intelligence (AI) system, at least one salient feature, the at least one salient comprising a biomarker, cancer, cancer grade, parasite, toxicity, inflammation, and/or cancer sub-type; determining, at the AI system, a salient region overlay for the digitized image, wherein the AI system indicates a value for each pixel; and suppressing, based on the value for each pixel, one or more non-salient regions of the digitized image.
    Type: Application
    Filed: October 18, 2024
    Publication date: February 6, 2025
    Inventors: Jason LOCKE, Jillian SUE, Christopher KANAN, Sese IH
  • Publication number: 20240112338
    Abstract: Systems and methods are disclosed for analyzing an image of a slide corresponding to a specimen, the method including receiving at least one digitized image of a pathology specimen; determining, using the digitized image at an artificial intelligence (AI) system, at least one salient feature, the at least one salient comprising a biomarker, cancer, cancer grade, parasite, toxicity, inflammation, and/or cancer sub-type; determining, at the AI system, a salient region overlay for the digitized image, wherein the AI system indicates a value for each pixel; and suppressing, based on the value for each pixel, one or more non-salient regions of the digitized image.
    Type: Application
    Filed: December 6, 2023
    Publication date: April 4, 2024
    Inventors: Jason LOCKE, Jillian SUE, Christopher KANAN, Sese IH
  • Publication number: 20230095896
    Abstract: Systems and methods are disclosed for receiving a target electronic image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning system to the target electronic image to determine at least one characteristic of the target specimen and/or at least one characteristic of the target electronic image, the machine learning system having been generated by processing a plurality of training images to predict at least one characteristic, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the target electronic image identifying an area of interest based on the at least one characteristic of the target specimen and/or the at least one characteristic of the target electronic image.
    Type: Application
    Filed: December 5, 2022
    Publication date: March 30, 2023
    Inventors: Jason LOCKE, Jillian SUE, Peter SCHUEFFLER, Jose Sebastian IZURIETA-HERRERA
  • Publication number: 20230005597
    Abstract: Systems and methods are disclosed for receiving one or more digital images associated with a tissue specimen, a related case, a patient, and/or a plurality of clinical information, determining one or more of a prediction, a recommendation, and/or a plurality of data for the one or more digital images using a machine learning system, the machine learning system having been trained using a plurality of training images, to predict a biomarker and a plurality of genomic panel elements, and determining, based on the prediction, the recommendation, and/or the plurality of data, whether to log an output and at least one visualization region as part of a case history within a clinical reporting system.
    Type: Application
    Filed: September 12, 2022
    Publication date: January 5, 2023
    Inventors: Jillian SUE, Jason LOCKE, Peter SCHUEFFLER, Christopher KANAN, Thomas FUCHS, Leo GRADY
  • Publication number: 20220207735
    Abstract: Systems and methods are disclosed for analyzing an image of a slide corresponding to a specimen, the method including receiving at least one digitized image of a pathology specimen; determining, using the digitized image at an artificial intelligence (AI) system, at least one salient feature, the at least one salient comprising a biomarker, cancer, cancer grade, parasite, toxicity, inflammation, and/or cancer sub-type; determining, at the AI system, a salient region overlay for the digitized image, wherein the AI system indicates a value for each pixel; and suppressing, based on the value for each pixel, one or more non-salient regions of the digitized image.
    Type: Application
    Filed: March 18, 2022
    Publication date: June 30, 2022
    Inventors: Jason LOCKE, Jillian SUE, Christopher KANAN, Sese IH
  • Publication number: 20210398278
    Abstract: Systems and methods are disclosed for analyzing an image of a slide corresponding to a specimen, the method including receiving at least one digitized image of a pathology specimen; determining, using the digitized image at an artificial intelligence (Al) system, at least one salient feature, the at least one salient comprising a biomarker, cancer, cancer grade, parasite, toxicity, inflammation, and/or cancer sub-type; determining, at the Al system, a salient region overlay for the digitized image, wherein the Al system indicates a value for each pixel; and suppressing, based on the value for each pixel, one or more non-salient regions of the digitized image.
    Type: Application
    Filed: June 17, 2021
    Publication date: December 23, 2021
    Inventors: Jason LOCKE, Jillian SUE, Christopher KANAN, Sese IH
  • Publication number: 20210233642
    Abstract: Systems and methods are disclosed for receiving one or more digital images associated with a tissue specimen, a related case, a patient, and/or a plurality of clinical information, determining one or more of a prediction, a recommendation, and/or a plurality of data for the one or more digital images using a machine learning system, the machine learning system having been trained using a plurality of training images, to predict a biomarker and a plurality of genomic panel elements, and determining, based on the prediction, the recommendation, and/or the plurality of data, whether to log an output and at least one visualization region as part of a case history within a clinical reporting system.
    Type: Application
    Filed: January 27, 2021
    Publication date: July 29, 2021
    Inventors: Jillian SUE, Jason LOCKE, Peter SCHUEFFLER, Christopher KANAN, Thomas FUCHS, Leo GRADY
  • Publication number: 20210073984
    Abstract: Systems and methods are disclosed for receiving a target electronic image corresponding to a target specimen, the target specimen comprising a tissue sample of a patient, applying a machine learning system to the target electronic image to determine at least one characteristic of the target specimen and/or at least one characteristic of the target electronic image, the machine learning system having been generated by processing a plurality of training images to predict at least one characteristic, the training images comprising images of human tissue and/or images that are algorithmically generated, and outputting the target electronic image identifying an area of interest based on the at least one characteristic of the target specimen and/or the at least one characteristic of the target electronic image.
    Type: Application
    Filed: September 8, 2020
    Publication date: March 11, 2021
    Inventors: Jason LOCKE, Jillian SUE, Peter SCHUEFFLER, Jose Sebastian IZURIETA-HERRERA