Patents by Inventor Vishakh GOPU

Vishakh GOPU 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).

  • Biomarkers for Age
    Publication number: 20220344003
    Abstract: Provided herein are methods and systems for inferring biological age in a subject. The methods involve analyzing data from a microbiome and/or somatic cell transcriptome from a subject and executing a model that infers biological age.
    Type: Application
    Filed: June 30, 2022
    Publication date: October 27, 2022
    Inventors: Vishakh GOPU, Ying CAI, Hal TILY, Guruduth S. BANAVAR, Momchilo VUYISICH
  • 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