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
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
Abstract: Computer based systems, methods, software and databases are presented in which correlations between web item preferences, behaviors and pangenetic (genetic and epigenetic) attributes of individuals are used for pangenetic based user behavior prediction in which predictions of a user's online behavior can be generated based on the user's pangenetic makeup. Data masking can be used to maintain privacy of sensitive portions of the pangenetic data.
Type:
Application
Filed:
May 11, 2015
Publication date:
September 3, 2015
Applicant:
EXPANSE BIOINFORMATICS, INC.
Inventors:
Andrew Alexander Kenedy, Charles Anthony Eldering