Patents by Inventor Ryan Yockey

Ryan Yockey 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).

  • Patent number: 11244752
    Abstract: Systems and methods for recommending foods to a user based on health data, includes a database, a memory and a processor. The database stores user health data for each user within a plurality of users, including vitals, genotypic and phenotypic data, user food preference data and foods data that includes macronutrient and micronutrient data for foods that may be recommended to a user. The memory stores program instructions, including program instructions that are capable of (i) classifying user health data into predetermined diet types and micronutrient recommendations, (ii) filtering the food data to determine available foods for a user; (iii) a ranking available meals for the user based on the micronutrient recommendations and the food data, and (iv) translating micronutrient recommendations and/or food data for the available foods for the user into specific food recommendations for the user.
    Type: Grant
    Filed: February 14, 2018
    Date of Patent: February 8, 2022
    Assignee: NEDERLANDSE ORGANISATIE VOOR TOEGEPAST—NATUURWETENSCHAPPELIJK ONDERZOEK TNO
    Inventors: Neil Grimmer, Joshua Anthony, Ryan Yockey, Matt Van Horn, Jon Allen, Erin Barrett, Barbara Winters, Heather Cutter, Angie Westbrock, Matt Town, Jennifer Carrico
  • Publication number: 20180240542
    Abstract: Systems and methods for recommending foods to a user based on health data, includes a database, a memory and a processor. The database stores user health data for each user within a plurality of users, including vitals, genotypic and phenotypic data, user food preference data and foods data that includes macronutrient and micronutrient data for foods that may be recommended to a user. The memory stores program instructions, including program instructions that are capable of (i) classifying user health data into predetermined diet types and micronutrient recommendations, (ii) filtering the food data to determine available foods for a user; (iii) a ranking available meals for the user based on the micronutrient recommendations and the food data, and (iv) translating micronutrient recommendations and/or food data for the available foods for the user into specific food recommendations for the user.
    Type: Application
    Filed: February 14, 2018
    Publication date: August 23, 2018
    Applicant: Habit, LLC
    Inventors: Neil Grimmer, Joshua Anthony, Ryan Yockey, Matt Van Horn, Jon Allen, Erin Barrett, Barbara Winters, Heather Cutter, Angie Westbrock, Matt Town, Jennifer Carrico
  • Publication number: 20180144820
    Abstract: Systems and methods for recommending foods to a user based on health data, includes a database, a memory and a processor. The database stores user health data for each user within a plurality of users, including vitals, genotypic and phenotypic data, user food preference data and foods data that includes macronutrient and micronutrient data for foods that may be recommended to a user. The memory stores program instructions, including program instructions that are capable of (i) classifying user health data into predetermined diet types and micronutrient recommendations, (ii) filtering the food data to determine available foods for a user; (iii) a ranking available meals for the user based on the micronutrient recommendations and the food data, and (iv) translating micronutrient recommendations and/or food data for the available foods for the user into specific food recommendations for the user.
    Type: Application
    Filed: October 24, 2017
    Publication date: May 24, 2018
    Applicant: Habit, LLC
    Inventors: Neil Grimmer, Joshua Anthony, Ryan Yockey, Matt Van Horn, Jon Allen, Erin Barrett, Barbara Winters, Heather Cutter, Angie Westbrock, Matt Town