Organic molecule exposomics

A system for classifying a phenotype of a subject, the method comprising:

• one or more processors and memory storing one or more programs for execution by the one or more processors, the one or more programs comprising instructions to:
• (i) obtain or collect one or more molecular signatures of molecules with a mass to charge ratio of at least 50 Da from a biological sample of a subject when one or more probes are disposed on the biological sample;
• and
• (ii) determine the phenotype of the subject from the one or more molecular signatures.

A method of training an untrained or partially untrained machine learning algorithm or predictive model, the method comprising:

• at a computer system having one or more processors, and memory storing one or more programs for execution by the one or more processors:
• collecting or obtaining one or more organic molecule signatures of a biological sample of a plurality of training subjects, wherein a first subset of training subjects in the plurality of training subjects have a first phenotype associated with the one or more organic molecule signatures, and a second subset of training subjects in the plurality of training subjects have a second phenotype associated with the one or more organic molecule signatures;
• and
• training the untrained or partially untrained machine learning algorithm or predictive model with the one or more organic molecule signatures of the plurality of training subjects and the corresponding first phenotype and second phenotype associated with the one or more organic molecular signatures, thereby producing or generating a trained predictive model.