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
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