Patents by Inventor Andrew Alexander Kenedy

Andrew Alexander Kenedy 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: 11348691
    Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.
    Type: Grant
    Filed: January 26, 2022
    Date of Patent: May 31, 2022
    Assignee: 23andMe, Inc.
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Patent number: 11348692
    Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.
    Type: Grant
    Filed: February 1, 2022
    Date of Patent: May 31, 2022
    Assignee: 23andMe, Inc.
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Publication number: 20210209134
    Abstract: An embodiment may involve storing, by a computing device and in a database, a set of pangenetic attributes of a set of individuals, wherein the pangenetic attributes of the set are respectively and statistically associated with products; based on the statistical associations between the pangenetic attributes and the products, determining, by the computing device, product recommendations for a second set of individuals; receiving, by the computing device and from the second set of individuals, a plurality of measures of satisfaction with the product recommendations; based on the plurality of measures of satisfaction, learning, by the computing device, an association between a subset of the pangenetic attributes and a particular product; and storing, by the computing device and in the database, the learned association, wherein the learned association provides a basis for subsequent recommendations of the particular product when a subsequent individual exhibits the subset of the pangenetic attributes.
    Type: Application
    Filed: March 25, 2021
    Publication date: July 8, 2021
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Publication number: 20210166823
    Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.
    Type: Application
    Filed: February 15, 2021
    Publication date: June 3, 2021
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Patent number: 11003694
    Abstract: An embodiment may involve storing, by a computing device and in a database, a set of pangenetic attributes of a set of individuals, wherein the pangenetic attributes of the set are respectively and statistically associated with products; based on the statistical associations between the pangenetic attributes and the products, determining, by the computing device, product recommendations for a second set of individuals; receiving, by the computing device and from the second set of individuals, a plurality of measures of satisfaction with the product recommendations; based on the plurality of measures of satisfaction, learning, by the computing device, an association between a subset of the pangenetic attributes and a particular product; and storing, by the computing device and in the database, the learned association, wherein the learned association provides a basis for subsequent recommendations of the particular product when a subsequent individual exhibits the subset of the pangenetic attributes.
    Type: Grant
    Filed: August 17, 2018
    Date of Patent: May 11, 2021
    Assignee: Expanse Bioinformatics
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Patent number: 10957455
    Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.
    Type: Grant
    Filed: August 27, 2020
    Date of Patent: March 23, 2021
    Assignee: Expanse Bioinformatics, Inc.
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Patent number: 10896233
    Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.
    Type: Grant
    Filed: August 27, 2020
    Date of Patent: January 19, 2021
    Assignee: Expanse Bioinformatics, Inc.
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Publication number: 20200394240
    Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.
    Type: Application
    Filed: August 27, 2020
    Publication date: December 17, 2020
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Publication number: 20200394241
    Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.
    Type: Application
    Filed: August 27, 2020
    Publication date: December 17, 2020
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Patent number: 10803134
    Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.
    Type: Grant
    Filed: March 21, 2018
    Date of Patent: October 13, 2020
    Assignee: Expanse Bioinformatics, Inc.
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Publication number: 20200210143
    Abstract: A method and system are presented in which a query attribute is used as the basis for accessing stored attribute combinations and their frequencies of occurrence for query-attribute-positive individuals and query-attribute-negative individuals and tabulating, based on frequencies of occurrence, those attribute combinations that are most likely to co-occur with the query attribute.
    Type: Application
    Filed: March 10, 2020
    Publication date: July 2, 2020
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Patent number: 10379812
    Abstract: A method, software, database and system for determining an optimal treatment for an illness in an individual and for determining the impact (e.g., side effects and intended benefits) of the treatment in the individual are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations genetic and non-genetic attributes that are statistically associated with successful treatment of the illness in other individuals.
    Type: Grant
    Filed: October 20, 2015
    Date of Patent: August 13, 2019
    Assignee: Expanse Bioinformatics, Inc.
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Publication number: 20190034163
    Abstract: A system and method are presented in which known genetic attributes associated with a condition are used to seed the determination of additional attributes which are associated with the condition. Based on the learning, the additional attributes (genetic, behavioral, or both) provide for an increased correlation between the combined attributes and the condition. For behavioral attributes, a measure of the impact of the behavioral attribute on the risk of the condition can be transmitted to another device or system.
    Type: Application
    Filed: October 4, 2018
    Publication date: January 31, 2019
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Publication number: 20190005113
    Abstract: An embodiment may involve storing, by a computing device and in a database, a set of pangenetic attributes of a set of individuals, wherein the pangenetic attributes of the set are respectively and statistically associated with products; based on the statistical associations between the pangenetic attributes and the products, determining, by the computing device, product recommendations for a second set of individuals; receiving, by the computing device and from the second set of individuals, a plurality of measures of satisfaction with the product recommendations; based on the plurality of measures of satisfaction, learning, by the computing device, an association between a subset of the pangenetic attributes and a particular product; and storing, by the computing device and in the database, the learned association, wherein the learned association provides a basis for subsequent recommendations of the particular product when a subsequent individual exhibits the subset of the pangenetic attributes.
    Type: Application
    Filed: August 17, 2018
    Publication date: January 3, 2019
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Publication number: 20180210705
    Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individuals who might benefit from being connected.
    Type: Application
    Filed: March 21, 2018
    Publication date: July 26, 2018
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Publication number: 20170185719
    Abstract: A method and system are presented in which a query attribute is used as the basis for accessing stored attribute combinations and their frequencies of occurrence for query-attribute-positive individuals and query-attribute-negative individuals and tabulating, based on frequencies of occurrence, those attribute combinations that are most likely to co-occur with the query attribute.
    Type: Application
    Filed: February 27, 2017
    Publication date: June 29, 2017
    Applicant: Expanse Bioinformatics, Inc.
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eld6814ering
  • Patent number: 9582647
    Abstract: A method and system are presented in which a query attribute is used as the basis for accessing stored attribute combinations and their frequencies of occurrence for query-attribute-positive individuals and query-attribute-negative individuals and tabulating, based on frequencies of occurrence, those attribute combinations that are most likely to co-occur with the query attribute.
    Type: Grant
    Filed: November 21, 2011
    Date of Patent: February 28, 2017
    Assignee: Expanse Bioinformatics, Inc.
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Publication number: 20170053089
    Abstract: A method, software, database and system for determining optimal career choices, psychological profiles (i.e., mental health profiles) and genetic based predispositions of an individual are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations of genetic and non-genetic attributes that are statistically associated with career, psychological and other genetically influenced attributes derived from other individuals.
    Type: Application
    Filed: October 19, 2016
    Publication date: February 23, 2017
    Applicant: Expanse Bioinformatics, Inc.
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Publication number: 20160042143
    Abstract: A method, software, database and system for determining an optimal treatment for an illness in an individual and for determining the impact (e.g., side effects and intended benefits) of the treatment in the individual are presented in which an attribute profile of the individual containing genetic and non-genetic attributes is compared against a database containing combinations genetic and non-genetic attributes that are statistically associated with successful treatment of the illness in other individuals.
    Type: Application
    Filed: October 20, 2015
    Publication date: February 11, 2016
    Applicant: EXPANSE BIOINFORMATICS
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering
  • Publication number: 20150347566
    Abstract: A method, software, database and system for attribute partner identification and social network based attribute analysis are presented in which attribute profiles associated with individuals can be compared and potential partners identified. Connections can be formed within social networks based on analysis of genetic and non-genetic data. Degrees of attribute separation (genetic and non-genetic) can be utilized to analyze relationships and to identify individual who might benefit from being connected.
    Type: Application
    Filed: August 10, 2015
    Publication date: December 3, 2015
    Applicant: EXPANSE BIOINFORMATICS, INC.
    Inventors: Andrew Alexander Kenedy, Charles Anthony Eldering