Patents by Inventor Calvin Tsay

Calvin Tsay 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).

  • DEFECT DETECTION IN LYOPHILIZED DRUG PRODUCTS WITH CONVOLUTIONAL NEURAL NETWORKS
    Publication number: 20240020817
    Abstract: In one embodiment, a method includes receiving one or more querying images associated with a container of a pharmaceutical product, each of the one or more querying images being based on a particular angle of the container of the pharmaceutical product, calculating one or more confidence scores associated with one or more defect indications, respectively for the container of the pharmaceutical product, by processing the one or more querying images using a target machine-learning model, and determining a defect indication for the container of the pharmaceutical product from the one or more defect indications based on a comparison between the one or more confidence scores and one or more predefined threshold scores, respectively.
    Type: Application
    Filed: September 25, 2023
    Publication date: January 18, 2024
    Inventors: Zheng LI, Calvin Tsay
  • Defect detection in lyophilized drug products with convolutional neural networks
    Patent number: 11810287
    Abstract: In one embodiment, a method includes receiving one or more querying images associated with a container of a pharmaceutical product, each of the one or more querying images being based on a particular angle of the container of the pharmaceutical product, calculating one or more confidence scores associated with one or more defect indications, respectively for the container of the pharmaceutical product, by processing the one or more querying images using a target machine-learning model, and determining a defect indication for the container of the pharmaceutical product from the one or more defect indications based on a comparison between the one or more confidence scores and one or more predefined threshold scores, respectively.
    Type: Grant
    Filed: January 7, 2022
    Date of Patent: November 7, 2023
    Assignee: Genentech, Inc.
    Inventors: Zheng Li, Calvin Tsay
  • DEFECT DETECTION IN LYOPHILIZED DRUG PRODUCTS WITH CONVOLUTIONAL NEURAL NETWORKS
    Publication number: 20220207708
    Abstract: In one embodiment, a method includes receiving one or more querying images associated with a container of a pharmaceutical product, each of the one or more querying images being based on a particular angle of the container of the pharmaceutical product, calculating one or more confidence scores associated with one or more defect indications, respectively for the container of the pharmaceutical product, by processing the one or more querying images using a target machine-learning model, and determining a defect indication for the container of the pharmaceutical product from the one or more defect indications based on a comparison between the one or more confidence scores and one or more predefined threshold scores, respectively.
    Type: Application
    Filed: January 7, 2022
    Publication date: June 30, 2022
    Applicant: Genentech, Inc.
    Inventors: Zheng LI, Calvin TSAY
  • Defect detection in lyophilized drug products with convolutional neural networks
    Patent number: 11263738
    Abstract: In one embodiment, a method includes receiving one or more querying images associated with a container of a pharmaceutical product, each of the one or more querying images being based on a particular angle of the container of the pharmaceutical product, calculating one or more confidence scores associated with one or more defect indications, respectively for the container of the pharmaceutical product, by processing the one or more querying images using a target machine-learning model, and determining a defect indication for the container of the pharmaceutical product from the one or more defect indications based on a comparison between the one or more confidence scores and one or more predefined threshold scores, respectively.
    Type: Grant
    Filed: October 16, 2019
    Date of Patent: March 1, 2022
    Assignee: GENENTECH, INC.
    Inventors: Zheng Li, Calvin Tsay