Patents by Inventor Aïcha Bentaieb

Aïcha Bentaieb 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: 20230343074
    Abstract: A system and method are provided for training and using a machine learning model to analyze hematoxylin and eosin (H&E) slide images, where the machine learning model is trained using a training data set comprising a plurality of unmarked H&E images and a plurality of marked H&E images, each marked H&E image being associated with one unmarked H&E image and each marked H&E image including a location of one or more molecules determined by analyzing a multiplex IHC image having at least two IHC stains, each IHC stain having a unique color and a unique target molecule. Predicted molecules and locations identified with the machine learning model result in an immunotherapy response class being assigned to the H&E slide image.
    Type: Application
    Filed: June 15, 2023
    Publication date: October 26, 2023
    Inventors: Aïcha Bentaieb, Martin Christian Stumpe, Aly Azeem Khan
  • Patent number: 11727674
    Abstract: A system and method are provided for training and using a machine learning model to analyze hematoxylin and eosin (H&E) slide images, where the machine learning model is trained using a training data set comprising a plurality of unmarked H&E images and a plurality of marked H&E images, each marked H&E image being associated with one unmarked H&E image and each marked H&E image including a location of one or more molecules determined by analyzing a multiplex IHC image having at least two IHC stains, each IHC stain having a unique color and a unique target molecule. Predicted molecules and locations identified with the machine learning model result in an immunotherapy response class being assigned to the H&E slide image.
    Type: Grant
    Filed: December 13, 2021
    Date of Patent: August 15, 2023
    Assignee: TEMPUS LABS, INC.
    Inventors: Aïcha Bentaieb, Martin Christian Stumpe, Aly Azeem Khan
  • Publication number: 20220189150
    Abstract: A system and method are provided for training and using a machine learning model to analyze hematoxylin and eosin (H&E) slide images, where the machine learning model is trained using a training data set comprising a plurality of unmarked H&E images and a plurality of marked H&E images, each marked H&E image being associated with one unmarked H&E image and each marked H&E image including a location of one or more molecules determined by analyzing a multiplex IHC image having at least two IHC stains, each IHC stain having a unique color and a unique target molecule. Predicted molecules and locations identified with the machine learning model result in an immunotherapy response class being assigned to the H&E slide image.
    Type: Application
    Filed: December 13, 2021
    Publication date: June 16, 2022
    Inventors: Aïcha Bentaieb, Martin Christian Stumpe, Aly Azeem Khan