Patents by Inventor Victor Aubert

Victor Aubert 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).

  • Systems and methods for determining breast cancer prognosis and associated features
    Patent number: 12488899
    Abstract: A computer implemented method and a machine learning model for predicting the likelihood that a subject having breast cancer will experience a relapse following treatment, predicting a tumor within a whole slide image, and/or predicting a status of a biomarker in breast cancer tissue is provided.
    Type: Grant
    Filed: March 28, 2023
    Date of Patent: December 2, 2025
    Assignees: OWKIN FRANCE SAS, OWKIN, INC.
    Inventors: Charlie Saillard, Benoit Schmauch, Victor Aubert, Aurelie Kamoun, Magali Lacroix-Triki, Ingrid Garberis, Damien Drubay, Fabrice André
  • SYSTEMS AND METHODS FOR IDENTIFICATION OF PANCREATIC DUCTAL ADENOCARCINOMA MOLECULAR SUBTYPES
    Publication number: 20240221159
    Abstract: Deep learning models for predicting one or more features of pancreatic ductal adenocarcinoma from histopathology slide images is provided.
    Type: Application
    Filed: May 6, 2022
    Publication date: July 4, 2024
    Inventors: Charles SAILLARD, Benoit SCHMAUCH, Victor AUBERT, Kamoun AURÉLIE, Magali LACROIX-TRIKI, Ingrid GARBERIS, Damien DRUBAY, Fabrice ANDRÉ, Jérôme CROS
  • SYSTEMS AND METHODS FOR DETERMINING BREAST CANCER PROGNOSIS AND ASSOCIATED FEATURES
    Publication number: 20240112812
    Abstract: A computer implemented method and a machine learning model for predicting the likelihood that a subject having breast cancer will experience a relapse following treatment, predicting a tumor within a whole slide image, and/or predicting a status of a biomarker in breast cancer tissue is provided.
    Type: Application
    Filed: September 15, 2022
    Publication date: April 4, 2024
    Inventors: Charlie SAILLARD, Benoit SCHMAUCH, Victor AUBERT, Aurelie KAMOUN, Magali LACROIX-TRIKI, Ingrid GARBERIS, Damien DRUBAY, Fabrice ANDRÉ
  • SYSTEMS AND METHODS FOR DETERMINING BREAST CANCER PROGNOSIS AND ASSOCIATED FEATURES
    Publication number: 20230282362
    Abstract: A computer implemented method and a machine learning model for predicting the likelihood that a subject having breast cancer will experience a relapse following treatment, predicting a tumor within a whole slide image, and/or predicting a status of a biomarker in breast cancer tissue is provided.
    Type: Application
    Filed: March 28, 2023
    Publication date: September 7, 2023
    Inventors: Charlie SAILLARD, Benoit Schmauch, Victor Aubert, Aurelie Kamoun, Magali Lacroix-Triki, Ingrid Garberis, Damien Drubay, Fabrice André