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AI Biotech/Diagnostics: General Diagnostics
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Application US20190050534
Published 2019-02-14
Disease-associated Microbiome Characterization Process
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.
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- 1. A system for characterization of a microorganism-related condition, the system comprising:
a sample handling system comprising a sequencing system operable to determine microorganism genetic sequences based on samples associated with a set of subjects, wherein the samples comprise microorganism nucleic acids associated with the microorganism-related condition; a set of microbiome characterization modules operable to apply a set of analytical techniques comprising at least two of a statistical test, a dimensionality reduction technique, and an artificial intelligence approach, and wherein the set of microbiome characterization modules comprises:
a first microbiome characterization module operable to apply a first analytical technique, of the set of analytical techniques, to determine a set of microbiome features based on the microorganism genetic sequences, wherein the set of microbiome features is associated with the microorganism-related condition; and
a second microbiome characterization module operable to apply a second analytical technique, of the set of analytical techniques, to determine a processed microbiome feature set based on the set of microbiome features, wherein the processed microbiome feature set is adapted to improve the characterization of the microorganism-related condition; and
a microorganism-related condition model generated based on the processed microbiome feature set, wherein the microorganism-related condition model is operable to determine a characterization of the microorganism-related condition for a user.
- 9. A method for characterizing a microorganism-related condition, the method comprising:
determining a microorganism sequence dataset for a user based on microorganism nucleic acids from a sample associated with the user; and determining a characterization of the microorganism-related condition for the user based on the microorganism sequence dataset and a microorganism-related condition model generated based on the application, with a set of microbiome characterization modules, of a set of analytical techniques to determine a set of microbiome features, wherein the set of analytical techniques comprises at least one of a statistical test, a dimensionality reduction technique, and an artificial intelligence approach, wherein the set of microbiome characterization modules comprises:
a first microbiome characterization module operable to apply a first analytical technique of the set of analytical techniques, and
a second microbiome characterization module operable to apply a second analytical technique of the set of analytical techniques.
- 21. A method for characterization of a plurality of microorganism-related conditions, the method comprising:
determining a microorganism sequence dataset associated with the set of subjects, based on microorganism nucleic acids from samples associated with the set of subjects, wherein the microorganism nucleic acids are associated with the plurality of microorganism-related conditions; with a set of microbiome characterization modules, determining a set of multi-condition microbiome features based on the microorganism sequence dataset, wherein each multi-condition microbiome feature of the set of multi-condition microbiome features is associated with at least two microorganism-related conditions of the plurality of microorganism-related conditions; determining, for a user, a multi-condition characterization of microorganism-related conditions of the plurality of microorganism-related conditions based on the set of multi-condition microbiome features and a sample from the user; and facilitating therapeutic intervention for the microorganism-related conditions of the plurality of microorganism-related conditions based on the multi-condition characterization.
