System and method for determining microbiome from host metabolome using a machine learning model

A system (100) for determining a microbiome profile from metabolome of a host, comprising:

• an analytical device (104) that is configured to analyze a sample and obtain spectral data of one or more metabolites present in the sample, wherein the sample is collected from the host on a sample collection device (102);
• and
• a microbiome profile determination server (108) that is communicatively connected with the analytical device (104) and comprises
• a memory;
• and
• a processor in communication with the memory, wherein the processor is configured to:
• receive the spectral data associated with the sample from the analytical device (104);
• characterized in that,
• generate metabolome data associated with the sample by detecting peaks associated with the one or more metabolites in the spectral data, and matching values of the peaks with theoretical peak values of known metabolites in a public database, wherein the peaks values comprise at least one of peak intensity, mass-to-charge (m/z), peak area, or full width at half maximum (FWHM) of peak, wherein the metabolome data comprises a plurality of metabolites in the sample with relative abundance;
• and
• predict, using a machine learning model (110), the microbiome profile of the host by extracting one or more features of the metabolome data and correlating the one or more features with learned association patterns to predict the microbiome profile, wherein the microbiome profile comprises at least one of phylum, genus or species level information on microbial population associated with the host with relative abundance.