Abstract: A platform providing methods and systems for prevention and/or treatment of a health condition, where a method can include: simultaneously reducing severity symptoms of the health condition and comorbid conditions upon: receiving a set of samples from one or more subjects; receiving a biometric dataset from one or more subjects; receiving a lifestyle dataset from one or more subjects; returning a genomic single nucleotide polymorphism (SNP) profile and a baseline microbiome state upon processing the set of samples, the biometric dataset, and the lifestyle dataset with a set of transformation operations; generating personalized intervention plans for the one or more subjects upon processing the genomic SNP profile and the baseline microbiome state with a multi-omic model; and executing the personalized intervention plans for the one or more subjects.

Abstract: A platform providing methods and systems for prevention and/or treatment of a health condition, where a method can include: simultaneously reducing severity symptoms of the health condition and comorbid conditions upon: receiving a set of samples from one or more subjects; receiving a biometric dataset from one or more subjects; receiving a lifestyle dataset from one or more subjects; returning a genomic single nucleotide polymorphism (SNP) profile and a baseline microbiome state upon processing the set of samples, the biometric dataset, and the lifestyle dataset with a set of transformation operations; generating personalized intervention plans for the one or more subjects upon processing the genomic SNP profile and the baseline microbiome state with a multi-omic model; and executing the personalized intervention plans for the one or more subjects.

Abstract: A platform providing methods and systems for prevention and/or treatment of a health condition (e.g., mental health condition and/or weight-related condition), where a method can include: simultaneously reducing severity symptoms of the health condition and comorbid conditions upon: receiving a set of samples from one or more subjects; receiving a biometric dataset from one or more subjects; receiving a lifestyle dataset from one or more subjects; returning a genomic single nucleotide polymorphism (SNP) profile and a baseline microbiome state upon processing the set of samples, the biometric dataset, and the lifestyle dataset with a set of transformation operations; generating personalized intervention plans for the one or more subjects upon processing the genomic SNP profile and the baseline microbiome state with a multi-omic model; and executing the personalized intervention plans for the one or more subjects.

Abstract: A platform providing methods and systems for prevention and/or treatment of a health condition, where a method can include: simultaneously reducing severity symptoms of the health condition and comorbid conditions upon: receiving a set of samples from one or more subjects; receiving a biometric dataset from one or more subjects; receiving a lifestyle dataset from one or more subjects; returning a genomic single nucleotide polymorphism (SNP) profile and a baseline microbiome state upon processing the set of samples, the biometric dataset, and the lifestyle dataset with a set of transformation operations; generating personalized intervention plans for the one or more subjects upon processing the genomic SNP profile and the baseline microbiome state with a multi-omic model; and executing the personalized intervention plans for the one or more subjects.

Abstract: A platform providing methods and systems for prevention and/or treatment of a health condition, where a method can include: simultaneously reducing severity symptoms of the health condition and comorbid conditions upon: receiving a set of samples from one or more subjects; receiving a biometric dataset from one or more subjects; receiving a lifestyle dataset from one or more subjects; returning a genomic single nucleotide polymorphism (SNP) profile and a baseline microbiome state upon processing the set of samples, the biometric dataset, and the lifestyle dataset with a set of transformation operations; generating personalized intervention plans for the one or more subjects upon processing the genomic SNP profile and the baseline microbiome state with a multi-omic model; and executing the personalized intervention plans for the one or more subjects.

Abstract: Embodiments of a method and/or system (e.g, for metabolism-related prediction) can include: generating an enzyme dataset; generating a substrate dataset; generating a metabolism model such as for predicting an enzyme feature associated with metabolism of a query molecule, based on the enzyme dataset and/or the substrate dataset; determining a microorganism taxon (and/or microorganism taxa) S140 associated with the metabolism of the query molecule based on one or more predicted enzyme features of the metabolism model (e.g., machine learning model; etc.) and/or determining a query molecule score (e.g., drug score) for one or more users based on the microorganism taxon.

Abstract: Embodiments of a method and system for microbial pharmacogenomics can include: a sample handling system operable to collect containers including biological samples from a set of users, the handling system including a sequencing system operable to determine microorganism sequences from the biological samples; a microbiome characterization system operable to: determine microbiome pharmacogenomics data based on the microorganism sequences, collect supplementary data associated with the antibiotics-associated condition for the set of users, and transform the supplementary data and features extracted from the microbiome pharmacogenomics data into a characterization model associated with the antibiotics-associated condition; and a treatment system operable to promote a treatment to the user for the antibiotics-associated condition based on characterizing user biological material with the characterization model in relation to the antibiotics-associated condition.

Abstract: Embodiments of a method and/or system for characterizing one or more sleep-related conditions can include determining a microorganism dataset associated with a set of subjects; and/or performing a characterization process associated with the one or more sleep-related conditions, based on the microorganism dataset, where performing the characterization process can additionally or alternatively include performing a sleep-related characterization process for the one or more sleep-related conditions, and/or determining one or more therapies S140.

Abstract: Embodiments of a method and/or system for characterizing a headache-related condition for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more headache-related conditions for the set of users; and performing a characterization process for the one or more headache-related conditions, based on the supplementary dataset and microbiome features extracted from the microbiome dataset.

Abstract: Embodiments of a method and/or system for characterizing an allergy-related condition for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more allergy-related conditions for the set of users; and performing an allergy-related characterization process for the one or more allergy-related conditions, based on the supplementary dataset and/or microbiome features extracted from the microbiome dataset.

Abstract: Embodiments of a method and/or system for characterizing a microorganism-related condition (e.g., human behavior condition, disease-related condition, etc.) for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more microorganism-related conditions for the set of users; and performing a microorganism-related characterization (e.g., human behavior characterization, disease-related characterization, etc.) process for the one or more microorganism-related conditions, based on the supplementary dataset and/or microbiome features extracted from the microbiome dataset.

Abstract: Embodiments of a method and/or system for characterizing a diet-related condition for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more diet-related conditions for the set of users; and performing a diet-related characterization process for the one or more diet-related conditions, based on the supplementary dataset and/or microbiome features extracted from the microbiome dataset.

Abstract: Embodiments of a method and/or system for characterizing one or more microorganism-related conditions can include: determining a microorganism dataset associated with a set of subjects; and with a set of microsome characterization modules, applying analytical techniques to perform a characterization process for the one or more microorganism-related conditions based on the microorganism dataset.

Abstract: Embodiments of a method and/or system for characterizing one or more appendix-related conditions can include determining a microorganism dataset associated with a set of subjects; and/or performing a characterization process associated with the one or more appendix-related conditions, based on the microorganism dataset, where performing the characterization process can additionally or alternatively include performing an appendix-related characterization process for the one or more appendix-related conditions, and/or determining one or more therapies.

Abstract: Embodiments of a method and/or system for characterizing one or more sleep-related conditions can include determining a microorganism dataset associated with a set of subjects; and/or performing a characterization process associated with the one or more sleep-related conditions, based on the microorganism dataset, where performing the characterization process can additionally or alternatively include performing a sleep-related characterization process for the one or more sleep-related conditions, and/or determining one or more therapies S140.

Abstract: Embodiments of a method and/or system for characterizing a diet-related condition for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more diet-related conditions for the set of users; and performing a diet-related characterization process for the one or more diet-related conditions, based on the supplementary dataset and/or microbiome features extracted from the microbiome dataset.

Abstract: Embodiments of a method and/or system for characterizing a microorganism-related condition (e.g., human behavior condition, disease-related condition, etc.) for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more microorganism-related conditions for the set of users; and performing a microorganism-related characterization (e.g., human behavior characterization, disease-related characterization, etc.) process for the one or more microorganism-related conditions, based on the supplementary dataset and/or microbiome features extracted from the microbiome dataset.

Abstract: Embodiments of a method and/or system for characterizing an allergy-related condition for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more allergy-related conditions for the set of users; and performing an allergy-related characterization process for the one or more allergy-related conditions, based on the supplementary dataset and/or microbiome features extracted from the microbiome dataset.

Abstract: Embodiments of a method and system for microbial pharmacogenomics can include: a sample handling system operable to collect containers including biological samples from a set of users, the handling system including a sequencing system operable to determine microorganism sequences from the biological samples; a microbiome characterization system operable to: determine microbiome pharmacogenomics data based on the microorganism sequences, collect supplementary data associated with the antibiotics-associated condition for the set of users, and transform the supplementary data and features extracted from the microbiome pharmacogenomics data into a characterization model associated with the antibiotics-associated condition; and a treatment system operable to promote a treatment to the user for the antibiotics-associated condition based on characterizing user biological material with the characterization model in relation to the antibiotics-associated condition.