Patents by Inventor Ilan N. Wapinski

Ilan N. Wapinski 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: 11915823
    Abstract: In some aspects, the described systems and methods provide for validating performance of a model trained on a plurality of annotated pathology images. A pathology image is accessed. Frames are generated using the pathology image. Each frame in the set includes a distinct portion of the pathology image. Reference annotations are received from one or more users. The reference annotations describe at least one of a plurality of tissue or cellular characteristic categories for one or more frames in the set. Each frame in the set is processed using the trained model to generate model predictions. The model predictions describe at least one of the tissue or cellular characteristic categories for the processed frame. Performance of the trained model is validated based on determining a degree of association between the reference annotations and the model predictions for each frame and/or across all frames in the set of frames.
    Type: Grant
    Filed: November 10, 2022
    Date of Patent: February 27, 2024
    Assignee: PathAI, Inc.
    Inventors: Harsha Vardhan Pokkalla, Hunter L. Elliott, Dayong Wang, Benjamin P. Glass, Ilan N. Wapinski, Jennifer K. Kerner, Andrew H. Beck, Aditya Khosla, Sai Chowdary Gullapally, Ramprakash Srinivasan
  • Patent number: 11774442
    Abstract: The present described inventions relate, inter alia, to methods and compositions that provide for improved detection of target molecules.
    Type: Grant
    Filed: August 15, 2017
    Date of Patent: October 3, 2023
    Assignee: enEvolv, Inc.
    Inventors: James E. Spoonamore, Noah D. Taylor, Kristin J. Adolfsen, Matthew R. Dunn, Ilan N. Wapinski, Jay H. Konieczka
  • Patent number: 11527319
    Abstract: In some aspects, the described systems and methods provide for validating performance of a model trained on a plurality of annotated pathology images. A pathology image is accessed. Frames are generated using the pathology image. Each frame in the set includes a distinct portion of the pathology image. Reference annotations are received from one or more users. The reference annotations describe at least one of a plurality of tissue or cellular characteristic categories for one or more frames in the set. Each frame in the set is processed using the trained model to generate model predictions. The model predictions describe at least one of the tissue or cellular characteristic categories for the processed frame. Performance of the trained model is validated based on determining a degree of association between the reference annotations and the model predictions for each frame and/or across all frames in the set of frames.
    Type: Grant
    Filed: September 11, 2020
    Date of Patent: December 13, 2022
    Assignee: PathAI, Inc.
    Inventors: Harsha Vardhan Pokkalla, Hunter L. Elliott, Dayong Wang, Benjamin P. Glass, Ilan N. Wapinski, Jennifer K. Kerner, Andrew H. Beck, Aditya Khosla, Sai Chowdary Gullapally, Ramprakash Srinivasan
  • Patent number: 10370654
    Abstract: The present disclosure provides compositions and methods for genomic engineering.
    Type: Grant
    Filed: March 1, 2018
    Date of Patent: August 6, 2019
    Assignee: enEvolv, Inc.
    Inventors: Jay H. Konieczka, James E. Spoonamore, Ilan N. Wapinski, Farren J. Isaacs, Gregory B. Foley
  • Publication number: 20180320170
    Abstract: The present disclosure provides compositions and methods for genomic engineering.
    Type: Application
    Filed: March 1, 2018
    Publication date: November 8, 2018
    Inventors: Jay H. Konieczka, James E. Spoonamore, Ilan N. Wapinski, Farren J. Isaacs, Gregory B. Foley
  • Patent number: 9944925
    Abstract: The present disclosure provides compositions and methods for genomic engineering.
    Type: Grant
    Filed: August 4, 2014
    Date of Patent: April 17, 2018
    Assignee: ENEVOLV, INC.
    Inventors: Jay H. Konieczka, James E. Spoonamore, Ilan N. Wapinski, Farren J. Isaacs, Gregory B. Foley
  • Publication number: 20160186168
    Abstract: The present disclosure provides compositions and methods for genomic engineering.
    Type: Application
    Filed: August 4, 2014
    Publication date: June 30, 2016
    Inventors: Jay H. Konieczka, James E. Spoonamore, Ilan N. Wapinski, Farren J. Isaacs, Gregory B. Foley