Abstract: A method for at least one of characterizing, diagnosing and treating a neurological health issue in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the neurological health issue based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the neurological health issue; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: Methods, compositions, and systems are provided for detecting one or more a oral health issues by characterizing the microbiome of an individual, monitoring such effects, and/or determining, displaying, or promoting a therapy for the oral health issue. Methods, compositions, and systems are also provided for generating and comparing microbiome composition and/or functional diversity datasets. Methods, compositions, and systems are also provided for generating a characterization model and/or therapy model for dental decay issues and gingivitis issues.

Abstract: A method for at least one of characterizing, diagnosing, and treating an autoimmune disorder in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the autoimmune condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the autoimmune condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: Methods, compositions, and systems are provided for detecting one or more an eczema issues by characterizing the microbiome of an individual, monitoring such effects, and/or determining, displaying, or promoting a therapy for the eczema issue. Methods, compositions, and systems are also provided for generating and comparing microbiome composition and/or functional diversity datasets. Methods, compositions, and systems are also provided for generating a characterization model and/or therapy model for eczema.

Abstract: A method for at least one of characterizing, diagnosing, and treating a condition associated with microbiome taxonomic features in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: Methods, compositions, and systems are provided for detecting one or more effects of antibiotic usage for an infectious disease or other health condition on the microbiome of an individual, monitoring such effects, and/or determining, displaying, or promoting a therapy for such an effect. Methods, compositions, and systems are also provided for generating and comparing microbiome composition and/or functional diversity datasets. Methods, compositions, and systems are also provided for generating a characterization model for antibiotic usage.

Abstract: Methods, compositions, and systems are provided for detecting one or more a gastrointestinal issues by characterizing the microbiome of an individual, monitoring such effects, and/or determining, displaying, or promoting a therapy for the gastrointestinal issue. Methods, compositions, and systems are also provided for generating and comparing microbiome composition and/or functional diversity datasets. Methods, compositions, and systems are also provided for generating a characterization model and/or therapy model for constipation issues, diarrhea issues, hemorrhoids issues, bloating issues, and lactose intolerance issues.

Abstract: Methods, compositions, and systems are provided for detecting one or more a thyroid health issues by characterizing the microbiome of an individual, monitoring such effects, and/or determining, displaying, or promoting a therapy for the thyroid health issue. Methods, compositions, and systems are also provided for generating and comparing microbiome composition and/or functional diversity datasets.

Abstract: A method for at least one of characterizing, diagnosing, and treating an autoimmune disorder in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the autoimmune condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the autoimmune condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating an endocrine system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the endocrine system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the endocrine system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating a condition associated with microbiome functional features in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating a cardiovascular disease condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the cardiovascular disease condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the cardiovascular disease condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing and treating a neurological health issue in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the neurological health issue based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the neurological health issue; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for diagnosing and treating an immune microbial dysfunction in a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the immune microbial dysfunction based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset, wherein the characterization is diagnostic of at least one of Crohn's disease, inflammatory bowel disease (IBD), irritable bowel syndrome (IBS), ulcerative colitis, and celiac disease; based upon the characterization, generating a therapy model configured to correct the immune microbial dysfunction; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating a condition associated with microbiome taxonomic features in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating a mental health associated condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the mental health associated condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the mental health associated condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating an endocrine system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the endocrine system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the endocrine system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating an endocrine system condition in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the endocrine system condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the endocrine system condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing, and treating an autoimmune disorder in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the autoimmune condition based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the autoimmune condition; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.

Abstract: A method for at least one of characterizing, diagnosing and treating a neurological health issue in at least a subject, the method comprising: receiving an aggregate set of biological samples from a population of subjects; generating at least one of a microbiome composition dataset and a microbiome functional diversity dataset for the population of subjects; generating a characterization of the neurological health issue based upon features extracted from at least one of the microbiome composition dataset and the microbiome functional diversity dataset; based upon the characterization, generating a therapy model configured to correct the neurological health issue; and at an output device associated with the subject, promoting a therapy to the subject based upon the characterization and the therapy model.