Patents by Inventor Joerg C. Student

Joerg C. Student 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: 20230389855
    Abstract: A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A function mapping is executed from said neurophysiological and neurovascular data to a target that is one of a glymphatic flow marker, a molecular analysis marker of neurodegeneration, or a neuroimaging marker of neurodegeneration. A target prediction model is output based on the function mapping. The target prediction model can receive new neurophysiological and neurovascular data and output a predicted marker of neurodegeneration.
    Type: Application
    Filed: August 17, 2023
    Publication date: December 7, 2023
    Inventors: Paul Dagum, Gregory T.A. Kovacs, Laurent B. Giovangrandi, Carl J. Weber, Joerg C. Student, Nathan Whipple, Jonathan I. Kaplan
  • Patent number: 11759142
    Abstract: A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A function mapping is executed from said neurophysiological and neurovascular data to a target that is one of a glymphatic flow marker, a molecular analysis marker of neurodegeneration, or a neuroimaging marker of neurodegeneration. A target prediction model is output based on the function mapping. The target prediction model can receive new neurophysiological and neurovascular data and output a predicted marker of neurodegeneration.
    Type: Grant
    Filed: October 4, 2022
    Date of Patent: September 19, 2023
    Assignee: APPLIED COGNITION, INC.
    Inventors: Paul Dagum, Gregory T. A. Kovacs, Laurent B. Giovangrandi, Carl J. Weber, Joerg C. Student, Nathan Whipple, Jonathan I. Kaplan
  • Publication number: 20230080140
    Abstract: A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A function mapping is executed from said neurophysiological and neurovascular data to a target that is one of a glymphatic flow marker, a molecular analysis marker of neurodegeneration, or a neuroimaging marker of neurodegeneration. A target prediction model is output based on the function mapping. The target prediction model can receive new neurophysiological and neurovascular data and output a predicted marker of neurodegeneration.
    Type: Application
    Filed: October 4, 2022
    Publication date: March 16, 2023
    Inventors: Paul Dagum, Gregory T.A. Kovacs, Laurent B. Giovangrandi, Carl J. Weber, Joerg C. Student, Nathan Whipple, Jonathan I. Kaplan
  • Patent number: 11478184
    Abstract: A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A function mapping is executed from said neurophysiological and neurovascular data to a target that is one of a glymphatic flow marker, a molecular analysis marker of neurodegeneration, or a neuroimaging marker of neurodegeneration. A target prediction model is output based on the function mapping. The target prediction model can receive new neurophysiological and neurovascular data and output a predicted marker of neurodegeneration.
    Type: Grant
    Filed: April 5, 2022
    Date of Patent: October 25, 2022
    Assignee: APPLIED COGNITION, INC.
    Inventors: Paul Dagum, Gregory T. A. Kovacs, Laurent B. Giovangrandi, Carl J. Weber, Joerg C. Student, Nathan Whipple, Jonathan I. Kaplan