Systems and devices for coupling metabolomics data with digital monitors for precision health
AssigneesDuke University, The Governors of the University of Alberta
InventorsRima Kaddurah-Daouk, David Wishart, Dorsa Yahya Rayat
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Abstract
The present disclosure describes, in part, devices, systems, and methods for connecting metabolomic measurements to big data being generated by sensors captured in databases to enable monitoring of metabolic health at molecular level to map disruptions in biochemical processes in each individual that can inform about basis of disease and ways to correct for such defects tailored for each individual.
Claims11
A method of improving the health or wellness of a subject, using a master database (MetabosensorDB) created by collecting continuous digital health data and metabolomic data for a population of individuals over an extended time period where at least one perturbation is applied, and where standard multivariate statistical methods are used to group members of the population into health stratification groups, comprising the steps of:
- (a) Collecting digital health and metabolic data for a subject over a shorter time period;
- (b) Comparing the subject's digital health phenotype (DHP) and metabolic health phenotype (MHP) to see which health stratification group in the MetaboSensorDB the subject matches with;
- (c) apply a perturbation to the subject, which perturbation is associated with a desired health or wellness outcome for individuals in the health stratification group matched by the subject.
A system for improving the health or wellness of a subject;
- comprising:
- (a) a master database (MetabosensorDB) comprising digital health data and metabolomic data collected for a population of individuals over an extended time period where at least one perturbation is applied, and where standard multivariate statistical methods are used to group members of the population into a plurality of health stratification groups;
- (b) at least one device for collecting digital health data from a subject;
- (c) a metabolomic profile derived from a biological sample from the subject;
- (d) a computer operatively connected to the at least one device and configured to:
- i. receive the subject digital health data and metabolomic profile, and compare to the plurality of health stratification groups to match the subject to a health stratification group;
- and
- ii. identify at least one perturbation which is predicted to improve the subject's health or wellness;
- and
- iii. communicate the predicted at least one perturbation to the subject.
Dependencies are inferred from the claim text.