Methods and systems for chromatographic determination of a metabolome
AssigneePark City Venture Partners, LLC
InventorsMartin MARTINOV, Dejan NENOV
Life of this patent
Estimating the term…
Abstract
In an aspect, the present disclosure provides a method of determining a metabolic profile of a subject, comprising: (a) obtaining chromatography data obtained from a biological sample of said subject; (b) processing, using a machine-learning (ML) algorithm, a set of input features of said chromatography data to generate output data, wherein said set of input features do not comprise a presence or a quantity of a metabolite of said biological sample; and (c) determining said metabolic profile based at least in part on said output data.
Claims78
A method for determining a metabolic profile of a subject, comprising:
- (a) obtaining chromatography data obtained from a biological sample of said subject;
- (b) processing, using a machine-learning (ML) algorithm, a set of input features of said chromatography data to generate output data, wherein said set of input features do not comprise a presence or a quantity of a metabolite of said biological sample;
- and
- (c) determining said metabolic profile based at least in part on said output data.
A method of determining a multi-omic profile of a subject, comprising:
- (a) obtaining chromatography data obtained from a biological sample of said subject;
- (b) processing, using a machine-learning (ML) algorithm, a set of input features of said chromatography data to generate output data, wherein said set of input features do not comprise a presence or a quantity of a metabolite of said biological sample;
- and
- (c) determining said multi-omic profile based at least in part on said output data.
A system, comprising:
- a cartridge configured to receive a biological sample from a subject;
- and
- a chromatography system configured to receive said cartridge and process at least a portion of said biological sample.
A system, comprising:
- a chromatography system configured to generate chromatography data comprising a set of input features from at least a portion of a biological sample of a subject;
- one or more computer processors operatively coupled to said chromatography system, wherein said one or more computer processors are individually or collectively programmed to process, using a machine-learning (ML) algorithm, said chromatography data to generate output data related to a metabolic profile of said subject.
Dependencies are inferred from the claim text.