Use of multivariate analysis to assess treatment approaches

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United States of America Patent

PATENT NO 11699530
APP PUB NO 20220044823A1
SERIAL NO

17413354

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Abstract

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Fisher discriminant analysis is performed on data sets of typically developing (TD) individuals and data sets of autism spectrum disorder (ASD) individuals to produce a model that classifies TD individuals from ASD individuals. The ASD data sets include pre-treatment folate-dependent one-carbon metabolism (FOCM) and transsulfuration (TS) pathway metabolic profile data and post-treatment folate-dependent one-carbon metabolism (FOCM) and transsulfuration (TS) pathway metabolic profile data for patients receiving one or more ASD treatments. Changes in adaptive behavior are predicted by utilizing regression of changes in adaptive behavior and changes in biochemical measurements observed in the data sets. Thus, the system can be used to predict the effectiveness of a given course of treatment for an ASD patient based on measured metabolite data of that patient, or to predict the overall effectiveness of a clinical trial based on metabolite data for the trial participants.

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Patent Owner(s)

Patent OwnerAddress
RENSSELAER POLYTECHNIC INSTITUTE110 8TH STREET J BUILDING OFFICE OF TECHNOLOGY COMMERCIALIZATION TROY NY 12180-3590

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Hahn, Juergen Ballston Lake, US 11 22
Kruger, Uwe Ballston Lake, US 13 85
Vargason, Troy Troy, US 1 0

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