Patents by Inventor Andrew Shinohara

Andrew Shinohara 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: 11901040
    Abstract: A genomic update system can generate a user interface from network pages based on user variant data and network services associated with the network pages. A trait data structure tracks network services for different trait categories. A given network page of a given category can be used to identify a different category and different network services and content for display to a user. Content in the trait data structure can be included in a user interface with additional contextual visualizations that allow the user to interact with the links and content via a user device, such as a handheld mobile device.
    Type: Grant
    Filed: February 22, 2021
    Date of Patent: February 13, 2024
    Assignee: Helix, Inc.
    Inventors: Keith Dunaway, Anna Merkoulovitch, Andrew Shinohara, Anupreet Walia
  • Patent number: 11183268
    Abstract: A genomic update system can generate a user interface from network pages based on user variant data and network services associated with the network pages. A trait data structure tracks network services for different trait categories. A given network page of a given category can be used to identify a different category and different network services and content for display to a user. Content in the trait data structure can be included in a user interface with additional contextual visualizations that allow the user to interact with the links and content via a user device, such as a handheld mobile device.
    Type: Grant
    Filed: February 20, 2019
    Date of Patent: November 23, 2021
    Assignee: Helix OpCo, LLC
    Inventors: Chris Glode, Keith Dunaway, Anna Merkoulovitch, Andrew Shinohara, Anupreet Walia
  • Publication number: 20210174895
    Abstract: A genomic update system can generate a user interface from network pages based on user variant data and network services associated with the network pages. A trait data structure tracks network services for different trait categories. A given network page of a given category can be used to identify a different category and different network services and content for display to a user. Content in the trait data structure can be included in a user interface with additional contextual visualizations that allow the user to interact with the links and content via a user device, such as a handheld mobile device.
    Type: Application
    Filed: February 22, 2021
    Publication date: June 10, 2021
    Inventors: Keith Dunaway, Anna Merkoulovitch, Andrew Shinohara, Anupreet Walia
  • Patent number: 10861587
    Abstract: A genomic update system can generate a user interface from network pages based on variant data in one or more of the network pages matching user variant data. Some of the network pages may be in an elevated or trusted class and linking pages may link to those network pages. Content from the linking pages can be included with one or more visualizations in the user interface for interaction by a user via a user device, such as a handheld mobile device.
    Type: Grant
    Filed: October 24, 2018
    Date of Patent: December 8, 2020
    Assignee: Helix OpCo, LLC
    Inventors: Keith Dunaway, Anna Merkoulovitch, Andrew Shinohara, Anupreet Walia
  • Publication number: 20200134136
    Abstract: A genomic update system can generate a user interface from network pages based on variant data in one or more of the network pages matching user variant data. Some of the network pages may be in an elevated or trusted class and linking pages may link to those network pages. Content from the linking pages can be included with one or more visualizations in the user interface for interaction by a user via a user device, such as a handheld mobile device.
    Type: Application
    Filed: October 24, 2018
    Publication date: April 30, 2020
    Inventors: Keith Dunaway, Anna Merkoulovitch, Andrew Shinohara, Anupreet Walia
  • Publication number: 20200105365
    Abstract: A genomic update system can generate a user interface from network pages based on user variant data and network services associated with the network pages. A trait data structure tracks network services for different trait categories. A given network page of a given category can be used to identify a different category and different network services and content for display to a user. Content in the trait data structure can be included in a user interface with additional contextual visualizations that allow the user to interact with the links and content via a user device, such as a handheld mobile device.
    Type: Application
    Filed: February 20, 2019
    Publication date: April 2, 2020
    Inventors: Chris Glode, Keith Dunaway, Anna Merkoulovitch, Andrew Shinohara, Anupreet Walia
  • Publication number: 20200104463
    Abstract: A genomic update system can generate a user interface from network pages based on user variant data and network services associated with the network pages. A trait data structure tracks network services for different trait categories. A given network page of a given category can be used to identify a different category and different network services and content for display to a user. Content in the trait data structure can be included in a user interface with additional contextual visualizations that allow the user to interact with the links and content via a user device, such as a handheld mobile device.
    Type: Application
    Filed: September 28, 2018
    Publication date: April 2, 2020
    Inventors: Chris Glode, Keith Dunaway, Anna Merkoulovitch, Andrew Shinohara, Anupreet Walia
  • Patent number: 10600503
    Abstract: The present invention is directed to a platform (e.g., Web-based) that enables basic and clinical research activities by integrating patient characteristics and clinical outcome data with a variety of high-throughput research data in a unified environment. While several rich data repositories for high dimensional research data exist in the public domain, most focus on a single data type and do not support integration across multiple technologies. The present invention in at least one embodiment includes a broad collection of bioinformatics and systems biology tools for analysis and visualization of four major “omics” types: DNA, mRNA, microRNA, and metabolites, as well as next-generation sequencing. The present invention helps facilitate systems medicine by providing easy identification of trends and patterns in integrated datasets and hence facilitate the use of better targeted therapies for cancer.
    Type: Grant
    Filed: August 3, 2012
    Date of Patent: March 24, 2020
    Assignee: GEORGETOWN UNIVERSITY
    Inventors: Subha Madhavan, Michael A. Harris, Yuriy Gusev, Andrew Shinohara, David M. Tanenbaum, Kevin Rosso
  • Publication number: 20140330583
    Abstract: The present invention is directed to a platform (e.g., Web-based) that enables basic and clinical research activities by integrating patient characteristics and clinical outcome data with a variety of high-throughput research data in a unified environment. While several rich data repositories for high dimensional research data exist in the public domain, most focus on a single data type and do not support integration across multiple technologies. The present invention in at least one embodiment includes a broad collection of bioinformatics and systems biology tools for analysis and visualization of four major “omics” types: DNA, mRNA, microRNA, and metabolites, as well as next-generation sequencing. The present invention helps facilitate systems medicine by providing easy identification of trends and patterns in integrated datasets and hence facilitate the use of better targeted therapies for cancer.
    Type: Application
    Filed: August 3, 2012
    Publication date: November 6, 2014
    Applicant: GEORGETOWN UNIVERSITY
    Inventors: Subha Madhavan, Michael A. Harris, Yuriy Gusev, Andrew Shinohara, David M. Tanenbaum, Kevin Rosso