Patents by Inventor Dalia Perelman

Dalia Perelman 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).

  • Systems and Methods to Identify Metabolic Subphenotypes and Uses Thereof
    Publication number: 20220406400
    Abstract: Systems and methods to assess metabolic dysregulation are described. Metabolic dysregulation refers to elevated glycemia or insulin resistance. The systems and methods assess metabolic dysregulation by determining which subphenotypes or underlying pathologies are contributing to the metabolic dysregulation. In some instances, a trained computational model utilizes an individual's glucose time series curve to determine the contribution of various metabolic dysregulation subphenotypes to the individual's metabolic dysregulation. Various applications or treatments can be performed based on the determination of metabolic dysregulation subphenotypes.
    Type: Application
    Filed: June 17, 2022
    Publication date: December 22, 2022
    Applicant: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Ahmed Metwally, Michael P. Snyder, Tracey L. McLaughlin, Dalia Perelman
  • Methods for evaluating glycemic regulation and applications thereof
    Patent number: 11385237
    Abstract: Classification of individuals based on their glycemic pattern and applications thereof are described. Generally, systems utilize continuous glucose monitoring data to determine glycemic pattern variability, which can be used as a basis to classify and treat individuals.
    Type: Grant
    Filed: June 5, 2019
    Date of Patent: July 12, 2022
    Assignee: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Alessandra Breschi, Michael P. Snyder, Dalia Perelman, Heather Hall
  • Methods for Evaluating Glycemic Regulation and Applications Thereof
    Publication number: 20190369108
    Abstract: Classification of individuals based on their glycemic pattern and applications thereof are described. Generally, systems utilize continuous glucose monitoring data to determine glycemic pattern variability, which can be used as a basis to classify and treat individuals.
    Type: Application
    Filed: June 5, 2019
    Publication date: December 5, 2019
    Applicant: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Alessandra Breschi, Michael P. Snyder, Dalia Perelman, Heather Hall