Patents by Inventor Jean-Claude Kasongo Mwanza

Jean-Claude Kasongo Mwanza 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).

  • Methods, systems, and computer readable media for predicting early onset glaucoma
    Patent number: 10314474
    Abstract: Methods, systems, and computer readable media for predicting early onset glaucoma via structural parameters obtained via time and spectral-domain optical coherence tomography (SD-OCT) are disclosed. SD-OCT technology measures the thicknesses of the layers of the retina that contain the cells that die in glaucoma before there is any functional loss. A multivariable predictive model may be used for the diagnosis of early glaucoma using a combination of optic nerve head (ONH), peripapillary retinal nerve fiber layer (RNFL), and macular ganglion cell-inner plexiform layer (GCIPL) parameters measured via SD-OCT. The model generates a glaucoma probability score for individual patient, which is valuable information in assisting clinicians in glaucoma diagnosis and treatment.
    Type: Grant
    Filed: January 30, 2017
    Date of Patent: June 11, 2019
    Assignee: The University of North Carolina at Chapel Hill
    Inventors: Jean-Claude Kasongo Mwanza, Donald Lyle Budenz, Joshua Lindsey Warren
  • METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR PREDICTING EARLY ONSET GLAUCOMA
    Publication number: 20170202448
    Abstract: Methods, systems, and computer readable media for predicting early onset glaucoma via structural parameters obtained via time and spectral-domain optical coherence tomography (SD-OCT) are disclosed. SD-OCT technology measures the thicknesses of the layers of the retina that contain the cells that die in glaucoma before there is any functional loss. A multivariable predictive model may be used for the diagnosis of early glaucoma using a combination of optic nerve head (ONH), peripapillary retinal nerve fiber layer (RNFL), and macular ganglion cell-inner plexiform layer (GCIPL) parameters measured via SD-OCT. The model generates a glaucoma probability score for individual patient, which is valuable information in assisting clinicians in glaucoma diagnosis and treatment.
    Type: Application
    Filed: January 30, 2017
    Publication date: July 20, 2017
    Inventors: Jean-Claude Kasongo Mwanza, Donald Lyle Budenz, Joshua Lindsey Warren
  • Methods, systems, and computer readable media for predicting early onset glaucoma
    Patent number: 9554755
    Abstract: Methods, systems, and computer readable media for predicting early onset glaucoma via structural parameters obtained via time and spectral-domain optical coherence tomography (SD-OCT) are disclosed. SD-OCT technology measures the thicknesses of the layers of the retina that contain the cells that die in glaucoma before there is any functional loss. A multivariable predictive model may be used for the diagnosis of early glaucoma using a combination of optic nerve head (ONH), peripapillary retinal nerve fiber layer (RNFL), and macular ganglion cell-inner plexiform layer (GCIPL) parameters measured via SD-OCT. The model generates a glaucoma probability score for individual patient, which is valuable information in assisting clinicians in glaucoma diagnosis and treatment.
    Type: Grant
    Filed: October 13, 2015
    Date of Patent: January 31, 2017
    Assignee: The University of North Carolina at Chapel Hill
    Inventors: Jean-Claude Kasongo Mwanza, Donald Lyle Budenz, Joshua Lindsey Warren
  • METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR PREDICTING EARLY ONSET GLAUCOMA
    Publication number: 20160100806
    Abstract: Methods, systems, and computer readable media for predicting early onset glaucoma via structural parameters obtained via time and spectral-domain optical coherence tomography (SD-OCT) are disclosed. SD-OCT technology measures the thicknesses of the layers of the retina that contain the cells that die in glaucoma before there is any functional loss. A multivariable predictive model may be used for the diagnosis of early glaucoma using a combination of optic nerve head (ONH), peripapillary retinal nerve fiber layer (RNFL), and macular ganglion cell-inner plexiform layer (GCIPL) parameters measured via SD-OCT. The model generates a glaucoma probability score for individual patient, which is valuable information in assisting clinicians in glaucoma diagnosis and treatment.
    Type: Application
    Filed: October 13, 2015
    Publication date: April 14, 2016
    Inventors: Jean-Claude Kasongo Mwanza, Donald Lyle Budenz, Joshua Lindsey Warren