Patents by Inventor Eric PATRIDGE

Eric PATRIDGE 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).

  • Personalized nutritional supplements and methods of making
    Patent number: 12685329
    Abstract: A method of preparing personalized supplement packages for a subject involves identifying one or a plurality of suboptimal wellness categories in the subject, rank ordering ingredients in terms of their utility score to the suboptimal conditions, and filling a total package amount with target doses of ingredients added in rank order until the total package amount is filled.
    Type: Grant
    Filed: May 22, 2024
    Date of Patent: July 21, 2026
    Assignee: Viome Life Sciences, Inc.
    Inventors: Alla Perlina, Tiep Ba Le, Grant Antoine, Guru Banavar, Hilary Keiser, Eric Patridge
  • Personalizing food recommendations to reduce glycemic response
    Patent number: 12444318
    Abstract: Provided herein are methods of generating models for predicting the glycemic response of an individual to consumption of a food or meal. The method involves collecting from a plurality of subjects, phenotypic data, ohmic data, and glycemic response data to foods or meals having a defined macronutrient profile. This data is then used to train a machine learning algorithm to create a model that predicts glycemic response of an individual to a food or meal based on the macro nutrient profile of the food or meal.
    Type: Grant
    Filed: June 30, 2022
    Date of Patent: October 14, 2025
    Assignee: Viome Life Sciences, Inc.
    Inventors: Guruduth S. Banavar, Hal Tily, Stephanie Gline, Matvey Genkin, Vishakh Gopu, Eric Patridge, Helen Messier, Reza Basseda, Debra Heald, Alla Perlina, Momchilo Vuyisich, Tiep Ba Le
  • Personalizing food recommendations to reduce glycemic response
    Patent number: 12272262
    Abstract: Provided herein are methods of generating models for predicting the glycemic response of an individual to consumption of a food or meal. The method involves collecting from a plurality of subjects, phenotypic data, ohmic data, and glycemic response data to foods or meals having a defined macronutrient profile. This data is then used to train a machine learning algorithm to create a model that predicts glycemic response of an individual to a food or meal based on the macro nutrient profile of the food or meal.
    Type: Grant
    Filed: February 12, 2020
    Date of Patent: April 8, 2025
    Assignee: Viome Life Sciences, Inc.
    Inventors: Guruduth S. Banavar, Hal Tily, Stephanie Gline, Matvey Genkin, Vishakh Gopu, Eric Patridge, Helen Messier, Reza Basseda, Debra Heald, Alla Perlina, Momchilo Vuyisich, Tiep Ba Le
  • Personalized Nutritional Supplements and Methods of Making
    Publication number: 20240306691
    Abstract: A method of preparing personalized supplement packages for a subject involves identifying one or a plurality of suboptimal wellness categories in the subject, rank ordering ingredients in terms of their utility score to the suboptimal conditions, and filling a total package amount with target doses of ingredients added in rank order until the total package amount is filled.
    Type: Application
    Filed: May 22, 2024
    Publication date: September 19, 2024
    Applicant: Viome Life Sciences, Inc.
    Inventors: Alla PERLINA, Tiep Ba LE, Grant Antoine, Guru Banavar, Hilary Keiser, Eric Patridge
  • Personalized nutritional supplements and methods of making
    Patent number: 12022853
    Abstract: A method of preparing personalized supplement packages for a subject involves identifying one or a plurality of suboptimal wellness categories in the subject, rank ordering ingredients in terms of their utility score to the suboptimal conditions, and filling a total package amount with target doses of ingredients added in rank order until the total package amount is filled.
    Type: Grant
    Filed: March 29, 2022
    Date of Patent: July 2, 2024
    Assignee: VIOME LIFE SCIENCES, INC.
    Inventors: Alla Perlina, Tiep Ba Le, Grant Antoine, Guru Banavar, Hilary Keiser, Eric Patridge
  • PERSONALIZING FOOD RECOMMENDATIONS TO REDUCE GLYCEMIC RESPONSE
    Publication number: 20220335853
    Abstract: Provided herein are methods of generating models for predicting the glycemic response of an individual to consumption of a food or meal. The method involves collecting from a plurality of subjects, phenotypic data, ohmic data, and glycemic response data to foods or meals having a defined macronutrient profile. This data is then used to train a machine learning algorithm to create a model that predicts glycemic response of an individual to a food or meal based on the macro nutrient profile of the food or meal.
    Type: Application
    Filed: June 30, 2022
    Publication date: October 20, 2022
    Applicants: Viome Life Sciences, Inc., Viome Life Sciences, Inc.
    Inventors: Guruduth S. BANAVAR, Hal TILY, Stephanie GLINE, Matvey GENKIN, Vishakh GOPU, Eric PATRIDGE, Helen MESSIER, Reza BASSEDA, Debra HEALD, Alla PERLINA, Momchilo VUYISICH, Tiep Ba LE
  • PERSONALIZING FOOD RECOMMENDATIONS TO REDUCE GLYCEMIC RESPONSE
    Publication number: 20220130276
    Abstract: Provided herein are methods of generating models for predicting the glycemic response of an individual to consumption of a food or meal. The method involves collecting from a plurality of subjects, phenotypic data, ohmic data, and glycemic response data to foods or meals having a defined macronutrient profile. This data is then used to train a machine learning algorithm to create a model that predicts glycemic response of an individual to a food or meal based on the macro nutrient profile of the food or meal.
    Type: Application
    Filed: February 12, 2020
    Publication date: April 28, 2022
    Inventors: Guruduth S. BANAVAR, Hal TILY, Stephanie GLINE, Matvey GENKIN, Vishakh GOPU, Eric PATRIDGE, Helen MESSIER, Reza BASSEDA, Debra HEALD, Ally PERLINA, Momchilo VUYISICH, Tiep Ba LE