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1. (US20160259909) METHOD AND SYSTEM FOR MICROBIOME-DERIVED DIAGNOSTICS AND THERAPEUTICS FOR LOCOMOTOR SYSTEM CONDITIONS

Office : United States of America
Application Number: 15098222 Application Date: 13.04.2016
Publication Number: 20160259909 Publication Date: 08.09.2016
Publication Kind : A1
IPC:
G06F 19/00
G06F 19/12
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
F
ELECTRIC DIGITAL DATA PROCESSING
19
Digital computing or data processing equipment or methods, specially adapted for specific applications
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
F
ELECTRIC DIGITAL DATA PROCESSING
19
Digital computing or data processing equipment or methods, specially adapted for specific applications
10
Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
12
for modelling or simulation in systems biology, e.g. probabilistic or dynamic models, gene-regulatory networks, protein interaction networks or metabolic networks
CPC:
G06F 19/3418
G06F 19/12
Applicants: uBiome, Inc.
Inventors: Zachary Apte
Daniel Almonacid
Jessica Richman
Siavosh Rezvan Behbahani
Priority Data:
Title: (EN) METHOD AND SYSTEM FOR MICROBIOME-DERIVED DIAGNOSTICS AND THERAPEUTICS FOR LOCOMOTOR SYSTEM CONDITIONS
Abstract: front page image
(EN)

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.