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 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 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 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:
Embodiments of a method and system for characterizing a skin-related condition in relation to a user can include one or more of: a handling network operable to collect containers comprising material from a set of users, the handling network comprising a sequencing system operable to determine microorganism sequences from sequencing the material; a microbiome characterization system operable to: determine at least one of microbiome composition data and microbiome functional diversity data based on the microorganism sequences, collect supplementary data associated with the skin-related condition for the set of users, and transform the supplementary data and the at least one of the microbiome composition data and the microbiome functional diversity data into a characterization model; and a therapy system operable to promote a treatment to the user for the skin-related condition based on characterizing the user with the characterization model in relation to the skin-related condition.
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 system and method for sample droplet processing, the system including a substrate, an electrode array network coupled to the substrate and configured to provide a pattern of controlled electric fields for manipulation of the set of sample droplets; a first layer in communication with the electrode array network, the first layer separating the electrode array network from fluid of the set of sample droplets; and a second layer opposing the first layer and displaced from the first layer to define a region wherein droplets of the set of sample droplets can reside. In some variations, the system can additionally include an electronics subsystem coupled to at least one of the substrate and the electrode array network, and a control module in communication with the electronics subsystem, wherein the control module generates and manipulates the pattern of controlled electric fields.
Abstract:
A method for at least one of characterizing, diagnosing, and treating a locomotor 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 locomotor 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 locomotor 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-derived 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.