US 11,699,069 B2 · Predictive assignments that relate to genetic information and leverage machine learning models

Abstract

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.

Claims20

Dependent claims

A system comprising:

a genetic prediction server comprising:
a memory;
an interface that acquires records that each indicate one or more characteristics determined for an individual, wherein the characteristics comprise at least one item selected from the group consisting of:
phenotypes and behaviors of the individual;
and
a controller that selects one or more machine learning models at least one of which utilizes a combination of multiple ones of the characteristics as input, loads the one or more machine learning models, and for each individual in the records:
predictively assigns at least one genetic variant to that individual by operating the one or more machine learning models based on multiple ones of the characteristics indicated in the records for that individual, wherein the at least one genetic variant comprises a variation in a nucleotide sequence;
the controller generates a report indicating at least one predictively assigned genetic variant for at least one individual, and transmits a command via the interface for presenting the report at a display.

5 more elements

A non-transitory computer readable medium embodying programmed instructions which, when executed by a processor, are operable for performing a method comprising:

acquiring records that each indicate one or more characteristics determined to exist for an individual, wherein the characteristics comprise at least one item selected from the group consisting of:
phenotypes and behaviors of the individual;
selecting one or more machine learning models at least one of which utilizes a combination of multiple ones of the characteristics as input;
loading the one or more machine learning models;
for each individual in the records, predictively assigning at least one genetic variant to that individual by operating the one or more machine learning models based on multiple ones of the characteristics indicated in the records for that individual, wherein the at least one genetic variant comprises a variation in a nucleotide sequence;
generating a report indicating at least one predictively assigned genetic variant for at least one individual;
and
transmitting a command for presenting the report at a display.

5 more elements

Dependencies are inferred from the claim text.

Predictive assignments that relate to genetic information and leverage machine learning models

Life of this patent

Predictive assignments that relate to genetic information and leverage machine learning models

Life of this patent

Abstract

Claims20