Patents by Inventor MICHAEL DRAGE

MICHAEL DRAGE 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).

  • Patent number: 12670595
    Abstract: In some aspects, a method, a system, or a non-transitory computer-readable storage medium are described for training one or more models to predict ulcerative colitis (UC) severity based on human-interpretable image features extracted from a whole-slide image, including acts of accessing a plurality of annotated whole-slide images associated with a plurality of UC patients, wherein each of the plurality of annotated whole-slide images includes at least one annotation describing a cell-type label or a tissue-type segmentation for a portion of the whole-slide image, extracting a plurality of human-interpretable image features based on cell-type labels and tissue-type segmentations associated with the plurality of annotated whole-slide images, training a statistical model based on the plurality of human-interpretable image features to predict the UC severity for a whole-slide image, and storing the trained model on at least one storage device.
    Type: Grant
    Filed: August 19, 2024
    Date of Patent: June 30, 2026
    Assignee: PathAI, Inc.
    Inventors: Fedaa Najdawi, Kathleen Sucipto, Archit Khosla, Michael Drage, Amaro N. Taylor-Weiner, Michael C. Montalto, Murray Resnick, Maryam Pouryahya, Stephanie Hennek, Ilan N. Wapinski, Andrew H. Beck, Christina Jayson, Chintan Shah, Waleed Tahir, John Shamshoian, Michael Griffin, Lani Clinton, Zahil Shanis, Carlos Gaitán, Jin Li, George Hu, Andrew Walker, Harshith Padigela, Harsha Vardhan Pokkalla, Yibo Zhang, Emma Krause, Jimish Mehta
  • Publication number: 20240428943
    Abstract: In some aspects, a method, system, and non-transitory computer-readable storage medium are described for predicting relevant biomarkers and patient response to immunotherapy treatment for one or more cancer types, including: using a first statistical model to determine cell-type and/or tissue-type characteristics associated with a pathology image of a patient; determining a plurality of human interpretable image features based on the cell-type and/or the tissue-type characteristics associated with the pathology image; using a second statistical model to classify the patient into one or more subpopulations of a plurality of subpopulations associated with a solid tumor based on the plurality of human interpretable image features; and predicting patient response to immunotherapy treatment based on the classification of the subpopulations.
    Type: Application
    Filed: June 25, 2024
    Publication date: December 26, 2024
    Applicant: PathAI, Inc.
    Inventors: Amaro N. Taylor-Weiner, Daniel Borders, Michael Drage, Jake Conway, Andrew H. Beck
  • Publication number: 20070181770
    Abstract: The present invention relates to a reading aid which is able to hold a book, of varying size and thickness, open in a natural reading position without the need for hands or other devices and comprises a non-linear, book supporting member each end of which is angled between 160 degrees and 60 degrees from the centre of said member with resilient asymmetric flexible left and right hand page retaining portions at opposite ends of said member which narrow along their length to less than a 12 point font size to fit between the text. Different book sizes are accommodated by different sized devices and a telescopic version. When not being used to read books the device wraps around the spine acting as a page mark.
    Type: Application
    Filed: November 18, 2006
    Publication date: August 9, 2007
    Inventor: MICHAEL DRAGE
  • Patent number: D835543
    Type: Grant
    Filed: March 28, 2017
    Date of Patent: December 11, 2018
    Inventor: Michael Drage