Christopher Glode

A genetic prediction server can select and execute various machine learning based models that can translate raw DNA and phenotypic data to predict predisposition for diseases and traits.

Systems and methods are provided for controlling dissemination of genomic data. One embodiment is a system that stores genomic data. The genomic data for each individual lists genetic variants determined to exist within that individual. The system receives an access request for a segment of genomic data for an individual, analyzes an authentication token within the request, authenticates the request as belonging to an account for a user based on the authentication token, and reviews… Show more

Systems and methods are provided for controlling dissemination of genomic data. One embodiment is a system that stores genomic data. The genomic data for each individual lists genetic variants determined to exist within that individual. The system receives an access request for a segment of genomic data for an individual, analyzes an authentication token within the request, authenticates the request as belonging to an account for a user based on the authentication token, and reviews authorization directives for the individual that indicate how predefined portions of genomic data are shared. The system also transmits the segment of genomic data in response to determining that the authorization directives permit the account to access the segment of genomic data, and prevents transmission of the segment of genomic data in response to determining that the authorization directives do not permit the account to access the segment of genomic data. Show less

Systems and methods are provided for performing predictive assignments pertaining to genetic information. One embodiment is a system that includes a genetic prediction server. The genetic prediction server includes an interface that acquires records that each indicate one or more genetic variants determined to exist within an individual, and a controller. The controller selects one or more machine learning models that utilize the genetic variants as input, and loads the machine learning models.… Show more

Systems and methods are provided for performing predictive assignments pertaining to genetic information. One embodiment is a system that includes a genetic prediction server. The genetic prediction server includes an interface that acquires records that each indicate one or more genetic variants determined to exist within an individual, and a controller. The controller selects one or more machine learning models that utilize the genetic variants as input, and loads the machine learning models. For each individual in the records: the controller predictively assigns at least one characteristic to that individual by operating the machine learning models based on at least one genetic variant indicated in the records for that individual. The controller also generates a report indicating at least one predictively assigned characteristic for at least one individual, and transmits a command via the interface for presenting the report at a display. Show less

Techniques are provided for retrieving performance data from an exercise database. At a server device, data entries are stored in a database. Each of the exercise data entries comprises one or more performance metrics for a corresponding metric category. The server receives first performance data of an individual performing an exercise event and selects one of the exercise entries in the database as a selected exercise entry. The server determines a metric category for the first performance… Show more

Techniques are provided for retrieving performance data from an exercise database. At a server device, data entries are stored in a database. Each of the exercise data entries comprises one or more performance metrics for a corresponding metric category. The server receives first performance data of an individual performing an exercise event and selects one of the exercise entries in the database as a selected exercise entry. The server determines a metric category for the first performance data and matches the metric category of the first performance data with a same metric category for the selected exercise entry. The server retrieves second performance data from the selected exercise data entry. The second performance data belongs to a metric category that does not match the metric category of the first performance data. The server assigns the second performance data as data associated with the exercise event. Show less

An activity tracking system is configured to receive an activity report identifying a fitness-related action that is reported to have been completed by a participant. Upon receipt of the activity report, the activity reporting system verifies the workout, e.g., by obtaining data that can be used by the activity reporting system to determine whether the activity report represents actual activity as reported by the participant or, in the alternative, suspect activity. Based on the data obtained… Show more

An activity tracking system is configured to receive an activity report identifying a fitness-related action that is reported to have been completed by a participant. Upon receipt of the activity report, the activity reporting system verifies the workout, e.g., by obtaining data that can be used by the activity reporting system to determine whether the activity report represents actual activity as reported by the participant or, in the alternative, suspect activity. Based on the data obtained from the one or more data sources and the information in the activity report, the activity tracking system determines a probability that the activity report represents legitimate fitness activity. This probability determination may then be output or reported to other systems (e.g., fitness history databases, websites, and the like, third party systems (e.g., incentive systems, reward systems, and the like). Show less

A peer-to-peer, proximity based, open marketplace for buyers and sellers of event tickets permits subscribers to use a buyer-seller exchange service via a clearinghouse server to connect with other users to coordinate the sale of tickets and other time sensitive items based on factors such as asking price, availability of tickets, market activity, as well as the physical proximity of the buyer and seller.

Read more: http://www.faqs.org/patents/app/20110099037#ixzz1SgIe5eo3