Patents by Inventor Bob S. Carter

Bob S. Carter 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: 20230027906
    Abstract: Aspects of the present disclosure relate to methods for detecting mutant TERT promoter sequences (e.g., C228T, C250T) that provide several improvements over conventional detection methods, thereby enabling detection of such mutations in biological fluid samples (e.g., plasma), which contain miniscule amounts of nucleic acids. Such improvements include, but are not limited to, improvements in detection sensitivity and specificity, which allows detection of mutations in a biological sample having a low level of nucleic acids such as a plasma sample from a patient having brain cancer (e.g., glioma).
    Type: Application
    Filed: December 7, 2020
    Publication date: January 26, 2023
    Inventors: Leonora Balaj, Koushik Muralidharan, Anudeep Yekula, Bob S. Carter
  • Patent number: 10169685
    Abstract: Techniques, systems, and devices are described for implementing automatic segmentation and quantitative parameterization of MRI images. For example, the disclosed method includes processing the MRI image to correct any distortions; performing a preliminary segmentation of the MRI image to assign a tissue label of a set of tissue labels to one or more preliminary volumes of voxels of the MRI image; comparing each voxel of the MRI image with the one or more preliminary volumes of voxels with an assigned tissue label and assigning each voxel of the MRI image a probability of being associated with each tissue label of the set of tissue labels; and assigning each voxel of the MRI image a tissue label according to its greatest probability among probabilities for each voxel being associated with the set of tissue labels.
    Type: Grant
    Filed: July 7, 2015
    Date of Patent: January 1, 2019
    Assignee: The Regents of the University of California
    Inventors: Clark Chen, Tyler Steed, Bob S. Carter, Anders M. Dale
  • Publication number: 20170147908
    Abstract: Techniques, systems, and devices are described for implementing automatic segmentation and quantitative parameterization of MRI images. For example, the disclosed method includes processing the MRI image to correct any distortions; performing a preliminary segmentation of the MRI image to assign a tissue label of a set of tissue labels to one or more preliminary volumes of voxels of the MRI image; comparing each voxel of the MRI image with the one or more preliminary volumes of voxels with an assigned tissue label and assigning each voxel of the MRI image a probability of being associated with each tissue label of the set of tissue labels; and assigning each voxel of the MRI image a tissue label according to its greatest probability among probabilities for each voxel being associated with the set of tissue labels.
    Type: Application
    Filed: July 7, 2015
    Publication date: May 25, 2017
    Inventors: Clark CHEN, Tyler STEED, Bob S. CARTER, Anders M. DALE
  • Publication number: 20100105136
    Abstract: Chimeric T-cell receptor proteins have been produced in cells by the construction of nucleic acids and vectors, and the transfection of the vectors into cells. The chimeric proteins comprise, as an extracellular binding portion, a single chain antibody portion that binds to EGFRvIII, a transmembrane portion derived from human CD8? or CD28, and an intracellular signaling portion derived from human CD3?. The invention includes nucleic acids, vectors and cells associated with the production of the chimeric membrane protein, as well as methods to treat rumors bearing EGFRvIII, a mutant epidermal growth factor receptor.
    Type: Application
    Filed: October 9, 2007
    Publication date: April 29, 2010
    Applicants: The General Hospital Corporation, Children's Medical Center Corporation
    Inventors: Bob S. Carter, Richard C. Mulligan, Szofia Bullain