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1. (EP3283652) METHOD AND SYSTEM FOR MICROBIOME-DERIVED DIAGNOSTICS AND THERAPEUTICS FOR MENTAL HEALTH ASSOCIATED CONDITIONS

Office : European Patent Office
Application Number: 16780673 Application Date: 13.04.2016
Publication Number: 3283652 Publication Date: 21.02.2018
Publication Kind : A4
Prior PCT appl.: Application Number:US2016027365 ; Publication Number: Click to see the data
IPC:
G06F 19/18
G01N 33/569
G06F 19/24
G16H 50/20
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
18
for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
G PHYSICS
01
MEASURING; TESTING
N
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
33
Investigating or analysing materials by specific methods not covered by groups G01N1/-G01N31/131
48
Biological material, e.g. blood, urine; Haemocytometers
50
Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
53
Immunoassay; Biospecific binding assay; Materials therefor
569
for micro-organisms, e.g. protozoa, bacteria, viruses
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
24
for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification
[IPC code unknown for G16H 50/20]
CPC:
G01N 33/569
C12Q 1/6883
G01N 2800/28
G16B 20/00
G16B 40/00
Applicants: UBIOME INC
Inventors: APTE ZACHARY
ALMONACID DANIEL
RICHMAN JESSICA
BEHBAHANI SIAVOSH REZVAN
Priority Data: 201562146767 13.04.2015 US
201562146818 13.04.2015 US
201562147071 14.04.2015 US
201562147287 14.04.2015 US
201562147314 14.04.2015 US
201562147328 14.04.2015 US
201562147337 14.04.2015 US
2016027365 13.04.2016 US
Title: (DE) VERFAHREN UND SYSTEM FÜR MIKROBIOMDERIVIERTE DIAGNOSTIKA UND THERAPEUTIKA FÜR PSYCHISCHE ERKRANKUNGEN
(EN) METHOD AND SYSTEM FOR MICROBIOME-DERIVED DIAGNOSTICS AND THERAPEUTICS FOR MENTAL HEALTH ASSOCIATED CONDITIONS
(FR) PROCÉDÉ ET SYSTÈME POUR DES DIAGNOSTICS ET DES TRAITEMENTS THÉRAPEUTIQUES, DÉRIVÉS DU MICROBIOME, DE PATHOLOGIES ASSOCIÉES À LA SANTÉ MENTALE
Abstract:
(EN) 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.
(FR) La présente invention concerne un procédé de caractérisation et/ou de diagnostic et/ou de traitement d'une pathologie associée à la santé mentale chez au moins un sujet, le procédé consistant à : réceptionner un ensemble cumulé d'échantillons biologiques provenant d'une population de sujets ; générer un ensemble de données concernant la composition du microbiome et/ou un ensemble de données concernant la diversité fonctionnelle du microbiome pour la population de sujets ; générer une caractérisation de la pathologie associée à la santé mentale en se basant sur des caractéristiques extraites de l'ensemble de données concernant la composition du microbiome et/ou de l'ensemble de données concernant la diversité fonctionnelle du microbiome ; d'après la caractérisation, générer un modèle thérapeutique conçu pour corriger la pathologie associée à la santé mentale ; et au niveau d'un dispositif de sortie associé au sujet, établir un traitement pour le sujet en se basant sur la caractérisation et sur le modèle thérapeutique.