Patents by Inventor Satvik Gadamsetty

Satvik Gadamsetty 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).

  • MACHINE-LEARNING DRIVEN DATA ANALYSIS AND HEALTHCARE RECOMMENDATIONS
    Publication number: 20240311923
    Abstract: A data processing system for machine-learning driven data analysis implements obtaining digital healthcare service provider information associated with one or more digital healthcare service providers and query parameters information from a user searching for digital healthcare service providers that may provide digital healthcare services to employees of the user. The system analyzes query parameter information using a first machine learning model to obtain category information. The system analyzes the category information and the digital health service provider information to predict digital healthcare service providers that provide services that the user may be interested in provided to the employees. These predictions are provided to the user as digital healthcare service recommendations.
    Type: Application
    Filed: February 29, 2024
    Publication date: September 19, 2024
    Applicant: Nayya Health, Inc.
    Inventors: Ishan Babbar, Satvik Gadamsetty, Bradley Verdino, David Feldman, Daniel Young, Mark Farnum, Akash Magoon, Aman Magoon
  • Machine-learning driven data analysis and healthcare recommendations
    Patent number: 11948204
    Abstract: A data processing system for machine-learning driven data analysis implements obtaining digital healthcare service provider information associated with one or more digital healthcare service providers and query parameters information from a user searching for digital healthcare service providers that may provide digital healthcare services to employees of the user. The system analyzes query parameter information using a first machine learning model to obtain category information. The system analyzes the category information and the digital health service provider information to predict digital healthcare service providers that provide services that the user may be interested in provided to the employees. These predictions are provided to the user as digital healthcare service recommendations.
    Type: Grant
    Filed: January 9, 2023
    Date of Patent: April 2, 2024
    Assignee: NAYYA HEALTH, INC.
    Inventors: Ishan Babbar, Satvik Gadamsetty, Bradley Verdino, David Feldman, Daniel Young, Mark Farnum, Akash Magoon, Aman Magoon
  • MACHINE-LEARNING DRIVEN DATA ANALYSIS AND HEALTHCARE RECOMMENDATIONS
    Publication number: 20230274369
    Abstract: A data processing system for machine-learning driven data analysis implements obtaining digital healthcare service provider information associated with one or more digital healthcare service providers and query parameters information from a user searching for digital healthcare service providers that may provide digital healthcare services to employees of the user. The system analyzes query parameter information using a first machine learning model to obtain category information. The system analyzes the category information and the digital health service provider information to predict digital healthcare service providers that provide services that the user may be interested in provided to the employees. These predictions are provided to the user as digital healthcare service recommendations.
    Type: Application
    Filed: January 9, 2023
    Publication date: August 31, 2023
    Applicant: Nayya Health, Inc.
    Inventors: Ishan Babbar, Satvik Gadamsetty, Bradley Verdino, David Feldman, Daniel Young, Mark Farnum, Akash Magoon, Aman Magoon
  • Machine-learning driven data analysis and healthcare recommendations
    Patent number: 11620718
    Abstract: A data processing system for machine-learning driven data analysis and reminders implements obtaining insurance claim information associated with a plurality of insurance claims associated with a user, user demographic information for the user or both and obtaining digital healthcare service provider information associated with one or more digital healthcare service providers.
    Type: Grant
    Filed: February 25, 2022
    Date of Patent: April 4, 2023
    Assignee: Nayya Health, Inc.
    Inventors: Ishan Babbar, Satvik Gadamsetty, Bradley Verdino, David Feldman, Daniel Young, Mark Farnum, Akash Magoon, Aman Magoon
  • Machine-learning driven data analysis and healthcare recommendations
    Patent number: 11551312
    Abstract: A data processing system for machine-learning driven data analysis implements obtaining digital healthcare service provider information associated with one or more digital healthcare service providers and query parameters information from a user searching for digital healthcare service providers that may provide digital healthcare services to employees of the user. The system analyzes query parameter information using a first machine learning model to obtain category information. The system analyzes the category information and the digital health service provider information to predict digital healthcare service providers that provide services that the user may be interested in provided to the employees. These predictions are provided to the user as digital healthcare service recommendations.
    Type: Grant
    Filed: February 25, 2022
    Date of Patent: January 10, 2023
    Assignee: Nayya Health, Inc.
    Inventors: Akash Magoon, Aman Magoon, Mark Farnum, Daniel Young, Ishan Babbar, Satvik Gadamsetty, Bradley Verdino, David Feldman