Patents by Inventor Hal TILY

Hal TILY 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).

  • 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
  • USER AUTHENTICATION BY A WEARABLE DEVICE
    Publication number: 20250209148
    Abstract: Methods, systems, and devices for operating a wearable device are described. The wearable device may determine that a user is wearing the wearable device. The wearable device may collect physiological data from the user based on determining that the user is wearing the wearable device. The wearable device may then determine an identity of the user based at least in part on the collected physiological data matching a physiological profile associated with the identity. The wearable device may then authenticate the user for an action by the wearable device that requires user authentication.
    Type: Application
    Filed: March 7, 2025
    Publication date: June 26, 2025
    Inventors: Hal Tily, Kimmo Suotsalo, Matti Rusila, Vertti Poikola, Jukka Partanen
  • User authentication by a wearable device
    Patent number: 12271459
    Abstract: Methods, systems, and devices for operating a wearable device are described. The wearable device may determine that a user is wearing the wearable device. The wearable device may collect physiological data from the user based on determining that the user is wearing the wearable device. The wearable device may then determine an identity of the user based at least in part on the collected physiological data matching a physiological profile associated with the identity. The wearable device may then authenticate the user for an action by the wearable device that requires user authentication.
    Type: Grant
    Filed: December 22, 2022
    Date of Patent: April 8, 2025
    Assignee: Oura Health Oy
    Inventors: Hal Tily, Kimmo Suotsalo, Matti Rusila, Vertti Poikola, Jukka Partanen
  • 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
  • Biomarkers for age
    Patent number: 12165745
    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: Grant
    Filed: June 30, 2022
    Date of Patent: December 10, 2024
    Assignee: Viome Life Sciences, Inc.
    Inventors: Vishakh Gopu, Ying Cai, Hal Tily, Guruduth S. Banavar, Momchilo Vuyisich
  • USER AUTHENTICATION BY A WEARABLE DEVICE
    Publication number: 20230214470
    Abstract: Methods, systems, and devices for operating a wearable device are described. The wearable device may determine that a user is wearing the wearable device. The wearable device may collect physiological data from the user based on determining that the user is wearing the wearable device. The wearable device may then determine an identity of the user based at least in part on the collected physiological data matching a physiological profile associated with the identity. The wearable device may then authenticate the user for an action by the wearable device that requires user authentication.
    Type: Application
    Filed: December 22, 2022
    Publication date: July 6, 2023
    Inventors: Hal Tily, Kimmo Suotsalo, Matti Rusila, Vertti Poikola, Jukka Partanen
  • 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