Patents by Inventor Jean-Philippe Vert

Jean-Philippe Vert 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).

  • SEQUENCE ERROR CORRECTION USING NEURAL NETWORKS
    Publication number: 20250131984
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for sequence error correction using neural networks.
    Type: Application
    Filed: August 29, 2022
    Publication date: April 24, 2025
    Inventors: Andrew Walker Carroll, Gunjan Baid, Pi-Chuan Chang, Daniel Elwood Cook, Maria Nattestad, Taedong Yun, Cory Yuen Fu McLean, MD Kishwar Shafin, Jean-Philippe Vert, Quentin Didier Olivier Berthet, Felipe Llinares López, Ashish Teku Vaswani
  • Failure state prediction for automated analyzers for analyzing a biological sample
    Patent number: 12072341
    Abstract: A method for predicting a failure state of an automated analyzer for analyzing a biological sample is disclosed. The method includes obtaining a prediction algorithm for predicting a failure state of an automated analyzer. The prediction algorithm is configured to predict a failure state of the automated analyzer based on calibration data and/or quality control data generated by an automated analyzer. The method also includes obtaining calibration data and/or quality control data of the automated analyzer and processing the calibration data and/or quality control data by using the prediction algorithm to predict a failure state of the automated analyzer.
    Type: Grant
    Filed: May 20, 2019
    Date of Patent: August 27, 2024
    Assignee: Roche Diagnostics Operations, Inc.
    Inventors: Fabian Heinemann, Stefan Kobel, Sven Dahlmanns, Jean-Philippe Vert, Yunlong Jiao
  • FAILURE STATE PREDICTION FOR AUTOMATED ANALYZERS FOR ANALYZING A BIOLOGICAL SAMPLE
    Publication number: 20190271713
    Abstract: A method for predicting a failure state of an automated analyzer for analyzing a biological sample is disclosed. The method includes obtaining a prediction algorithm for predicting a failure state of an automated analyzer. The prediction algorithm is configured to predict a failure state of the automated analyzer based on calibration data and/or quality control data generated by an automated analyzer. The method also includes obtaining calibration data and/or quality control data of the automated analyzer and processing the calibration data and/or quality control data by using the prediction algorithm to predict a failure state of the automated analyzer.
    Type: Application
    Filed: May 20, 2019
    Publication date: September 5, 2019
    Applicant: Roche Diagnostics Operations, Inc.
    Inventors: Fabian Heinemann, Stefan Kobel, Sven Dahlmanns, Jean-Philippe Vert, Yunlong Jiao