Patents by Inventor Bibi EPHRAIM

Bibi EPHRAIM 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: 12205386
    Abstract: A method includes, by a computing system, receiving a querying image depicting a sampling area, processing the querying image using a single cluster detection model to identify one or more regions of the querying image depicting a cluster in the sampling area, processing the one or more regions using a cluster verification deep-learning model to determine whether each depicted cluster is a cell cluster, and determining that exactly one of the identified one or more regions depicts a cluster that is a cell cluster. The method further includes processing the region depicting the cell cluster using a morphology deep-learning model to determine that there is only one cell in the cell cluster and to determine that die morphology of the cell is acceptable.
    Type: Grant
    Filed: June 15, 2022
    Date of Patent: January 21, 2025
    Assignee: Genentech, Inc.
    Inventors: Zheng Li, Mandy Man Chu Yim, Bibi Ephraim, Dat Tran, Xinyu Liu, David Shaw
  • Publication number: 20240189774
    Abstract: Methods and system for real-time monitoring and control of an ultrafiltration/diafiltration (UF/DF) conditioned pool in a UF/DF recovery tank are disclosed. In various embodiments, a UF/DF pool is received at a recovery tank for conditioning or dilution by a buffer. Inline Raman measurements of the conditioned UF/DF pool may be performed and provided to a trained machine learning model as input. The machine learning model can then predict product quality attributes of the UF/DF conditioned pool, examples of said product quality attributes including protein concentration and osmolality of the conditioned UF/DF pool.
    Type: Application
    Filed: December 12, 2023
    Publication date: June 13, 2024
    Inventors: Nima SAMMAKNEJAD, Victor M. SAUCEDO, John R. LAZZARESCHI, Nicholas T. WOON, Govindaraj SRIDHARAN, Bibi EPHRAIM
  • Publication number: 20220309666
    Abstract: A method includes, by a computing system, receiving a querying image depicting a sampling area, processing the querying image using a single cluster detection model to identify one or more regions of the querying image depicting a cluster in the sampling area, processing the one or more regions using a cluster verification deep-learning model to determine whether each depicted cluster is a cell cluster, and determining that exactly one of the identified one or more regions depicts a cluster that is a cell cluster. The method further includes processing the region depicting the cell cluster using a morphology deep-learning model to determine that there is only one cell in the cell cluster and to determine that die morphology of the cell is acceptable.
    Type: Application
    Filed: June 15, 2022
    Publication date: September 29, 2022
    Inventors: Zheng LI, Mandy Man Chu YIM, Bibi EPHRAIM, Dat TRAN, Xinyu LIU, David SHAW