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 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:
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 improving fragment assembly and/or sequence identification includes: collecting a sample including a set of nucleic acid components associated with a set of microorganisms; generating a set of tagged sequence fragments; amplifying the set of tagged sequence fragments and sequencing the set of tagged sequence fragments; based upon the set of identifier tags, generating a set of branched assemblies of candidate sequence fragments, wherein each of the set of branched assemblies includes a set of ordered nodes and a set of branches distributed across the set of nodes; implementing a threshold criterion to reduce the set of branched assemblies to a set of branch-reduced assemblies; and identifying a set of sequences corresponding to the set of branch-reduced assemblies and/or generating an analysis informative of the set of microorganisms associated with the sample.
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 at least one of characterizing, diagnosing, and treating a cutaneous 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 cutaneous 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 cutaneous 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 a cognition health issues by characterizing the microbiome of an individual, monitoring such effects, and/or determining, displaying, or promoting a therapy for the cognition 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 insomnia issues, light sleep issues, headache issues, sinusitis issues, and poor concentration issues.
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 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 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.