Patents by Inventor Kelly Mercier

Kelly Mercier 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).

  • Multi-Parameter Diabetes Risk Evaluations
    Publication number: 20240096497
    Abstract: Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or developing or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject.
    Type: Application
    Filed: June 16, 2023
    Publication date: March 21, 2024
    Applicant: LipoScience, Inc.
    Inventors: James D. Otvos, Irina Y. Shalaurova, Dennis W. Bennett, Justyna E. Wolak-Dinsmore, Thomas M. O'Connell, Kelly Mercier
  • Multi-parameter diabetes risk evaluations
    Patent number: 11710568
    Abstract: Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or developing or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject.
    Type: Grant
    Filed: July 2, 2019
    Date of Patent: July 25, 2023
    Assignee: LipoScience, Inc.
    Inventors: James D. Otvos, Irina Y. Shalaurova, Dennis W. Bennett, Justyna E. Wolak-Dinsmore, Thomas M. O'Connell, Kelly Mercier
  • Multi-Parameter Diabetes Risk Evaluations
    Publication number: 20200005943
    Abstract: Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or developing or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject.
    Type: Application
    Filed: July 2, 2019
    Publication date: January 2, 2020
    Applicant: LipoScience, Inc.
    Inventors: James D. Otvos, Irina Y. Shalaurova, Dennis W. Bennett, Justyna E. Wolak-Dinsmore, Thomas M. O'Connell, Kelly Mercier
  • Multi-parameter diabetes risk evaluations
    Patent number: 10388414
    Abstract: Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or developing or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject.
    Type: Grant
    Filed: May 3, 2016
    Date of Patent: August 20, 2019
    Assignee: LipoScience, Inc.
    Inventors: James D. Otvos, Irina Y. Shalaurova, Dennis W. Bennett, Justyna E. Wolak-Dinsmore, Thomas M. O'Connell, Kelly Mercier
  • Multi-parameter diabetes risk evaluations
    Patent number: 9792410
    Abstract: Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject.
    Type: Grant
    Filed: June 7, 2013
    Date of Patent: October 17, 2017
    Assignee: LipoScience, Inc.
    Inventors: James D. Otvos, Irina Y. Shalaurova, Dennis W. Bennett, Justyna E. Wolak-Dinsmore, Thomas M. O'Connell, Kelly Mercier
  • Multi-Parameter Diabetes Risk Evaluations
    Publication number: 20160321424
    Abstract: Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or developing or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject.
    Type: Application
    Filed: May 3, 2016
    Publication date: November 3, 2016
    Inventors: James D. Otvos, Irina Y. Shalaurova, Dennis W. Bennett, Justyna E. Wolak-Dinsmore, Thomas M. O'Connell, Kelly Mercier
  • Multi-parameter diabetes risk evaluations
    Patent number: 9361429
    Abstract: Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or developing or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject.
    Type: Grant
    Filed: March 14, 2013
    Date of Patent: June 7, 2016
    Assignee: LIPOSCIENCE, INC.
    Inventors: James D. Otvos, Irina Y. Shalaurova, Dennis W. Bennett, Justyna E. Wolak-Dinsmore, Thomas M. O'Connell, Kelly Mercier
  • MULTI-PARAMETER DIABETES RISK EVALUATIONS
    Publication number: 20150149095
    Abstract: Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject.
    Type: Application
    Filed: June 7, 2013
    Publication date: May 28, 2015
    Inventors: James D. Otvos, Irina Y. Shalaurova, Dennis W. Bennett, Justyna E. Wolak-Dinsmore, Thomas M. O'Connell, Kelly Mercier
  • MULTI-PARAMETER DIABETES RISK EVALUATIONS
    Publication number: 20130332082
    Abstract: Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or developing or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject.
    Type: Application
    Filed: March 14, 2013
    Publication date: December 12, 2013
    Inventors: James D. Otvos, Irina Y. Shalaurova, Dennis W. Bennett, Justyna E. Wolak-Dinsmore, Thomas M. O'Connell, Kelly Mercier