Using genetic and phenotypic data sets for drug discovery clinical trials

Patent metadata

Field	Value
Publication number	US-11901083-B1
Application number	US-202117538457-A
Country	US
Kind code	B1
Filing date	Nov 30, 2021
Priority date	Nov 30, 2021
Publication date	Feb 13, 2024
Grant date	Feb 13, 2024

Abstract

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adjusting monitoring profiles of end devices. In one aspect, a method generates a health profile for the user; determines, based on the health profile of the user, a particular health risk for the user; determines, for the particular health risk, a first monitoring profile for the user that causes one or more health monitoring devices to monitor the user for a first set of health data; provides the first monitoring profile to the one or more health monitoring devices; receives epigenetic data describing epigenetic factors for the user; determines that a health change event for the particular health risk has occurred for the user; and in response, determines a second monitoring profile for the user for the particular health risk and provides the second monitoring profile to the one or more health monitoring devices.

First claim

The invention claimed is:

1. A computer-implemented method, comprising:
for each user of a first plurality of users:
generating a health profile for the user based on genetic data of the user and (ii) health data of the user resulting from monitoring over a time period, the health data of the user being received from one or more health monitoring devices of the user over a time period;
determining, based on the health profile of the user, a particular health risk for the user;
determining, for the particular health risk, a first monitoring profile for the user that causes the one or more health monitoring devices to monitor the user to obtain one or more first types of health data according to the first monitoring profile, wherein the first monitoring profile includes first instructions that cause at least one of the one or more health monitoring devices to collect the one or more first types of health data;
providing the first monitoring profile to the one or more health monitoring devices of the user;
receiving, from the one or more health monitoring devices of the user, epigenetic data including measures of one or more epigenetic factors for the user;
determining whether a health change event for the particular health risk has occurred for the user based, at least in part, on the genetic data of the user and the epigenetic data of the user, wherein the health change event is a change of the particular health risk of the user from a first level to a second level;

for each user of a second plurality of users for which the health change event has been determined to have occurred, wherein the second plurality of users is a subset of the first plurality of users:
determining, for the particular health risk determined for the user, a second monitoring profile for the user that causes the one or more health monitoring devices of the user to monitor the user to obtain one or more second types of health data according to the second monitoring profile, wherein the second monitoring profile is different from the first monitoring profile and includes second instructions that cause at least one of the one or more health monitoring devices of the user to collect the one or more second types of health data, wherein:
the second instructions are executable instructions that are configured to be executed by the one or more health monitoring devices of the user to automatically initiate monitoring of the user to obtain the one or more second types of health data, and that, upon execution of the second instructions by the one or more health monitoring devices of the user, direct the one or more health monitoring devices of the user to change an amount of monitoring performed by the one or more health monitoring devices according to the change in the particular health risk for the user; and

providing, to the one or more health monitoring devices of the user, the second monitoring profile to cause the one or more health monitoring devices of the user to monitor the user to obtain the one or more second types of health data, wherein the one or more second types of health data are different from the one or more first types of health data.

2. The computer-implemented method of claim 1 , further comprising:
receiving, from the one or more health monitoring devices, a first set of health data for the first types of health data; and
determining whether the health change event for the particular health risk has occurred for the user based, at least in part, on the genetic data and the epigenetic data for the user comprises determining that the health change event for the particular health risk has occurred for the user based on the genetic data, the epigenetic data, and the first set of health data.

3. The computer-implemented method of claim 1 , further comprising receiving, from the one or more health monitoring devices, a second set of health data for the second types of health data monitored by the health monitoring devices according to the second monitoring profile.

4. The computer-implemented method of claim 1 , wherein determining a particular health risk for the user comprises:
comparing the health profile of the user with data specifying genetic and health risk factors; and
identifying a particular health risk for the user based on the comparison.

5. The computer-implemented method of claim 1 , wherein determining a particular health risk for the user comprises:
receiving a set of health profiles of other users;
comparing the health profile of the user with the set of health profiles of other users; and
identifying a particular health risk for the user based on the comparison.

6. The computer-implemented method of claim 1 , wherein determining a particular health risk for the user comprises:
providing data from the health profile as input to a trained machine learning model trained to determine a health risk based on the input; and
receiving, from the trained machine learning model, data identifying the particular health risk.

7. The computer-implemented method of claim 1 , wherein determining whether the health change event for the particular health risk has occurred for the user comprises:
determining, based, at least in part, on the genetic data and the epigenetic data for the user, that a change in the health risk that meets a change threshold has occurred.

8. The computer-implemented method of claim 7 , wherein:
determining, based, at least in part, on the genetic data and the epigenetic data for the user, that a change in the health risk that meets a change threshold has occurred comprises determining that the epigenetic data that indicates the epigenetic factor for the user has caused an increase in the health risk that meets an increase threshold; and
determining, for the particular health risk, the second monitoring profile for the user comprises adjusting the first monitoring profile to cause the one or more health monitoring devices to monitor the user for a set of health data at an increased frequency from a frequency specified in the first monitoring profile.

9. The computer-implemented method of claim 7 , wherein:
determining, based, at least in part, on the genetic data and the epigenetic data for the user, that a change in the health risk that meets a change threshold has occurred comprises determining that the epigenetic data that indicates the epigenetic factor for the user has caused an increase in the health risk that meets an increase threshold; and
determining, for the particular health risk, the second monitoring profile for the user comprises generating the monitoring profile to cause the one or more health monitoring devices to monitor the user for the one or more first types of health data and one or more additional types of health data not in the one or more first types of health data, wherein the one or more first types of health data and the one or more additional types of health data not in the first types of health data comprise the one or more second types of health data.

10. The method of claim 1 , wherein the second monitoring profile changes the amount of monitoring by the one or more health monitoring devices according to the change in the particular health risk for the user by one or more of (i) adding a health monitoring device to collect a type of health data not included in the one or more first types of health data or (ii) removing a health monitoring device to end collection of a type of health data included in the one or more first types of health data.

11. The method of claim 1 , wherein the second monitoring profile is configured to cause the one or more second types of health data to be collected using a type of interaction or technique dif

Assignees

• Vignet Inc

Inventors

• Jain Praduman
• Schilling Josh
• Klein Dave

Classifications

• G16H50/30 Primary

  for calculating health indices; for individual health risk assessment · CPC title

• G16B20/00 Primary

  ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations · CPC title

• G16H50/20

  for computer-aided diagnosis, e.g. based on medical expert systems · CPC title

• G16H70/40

  relating to drugs, e.g. their side effects or intended usage · CPC title