• The European Union has awarded PRONIA with 6 Million Euro within the 7th Framework Programme.

    The European Union has awarded PRONIA with 6 Million Euro within the 7th Framework Programme.

  • 1700 study participants are being recruited for PRONIA in six European centres and one in Australia.

    1700 study participants are being recruited for PRONIA in six European centres and one in Australia.

  • Psychoses typically commence in the most productive and critical period of life – late adolescence and early adulthood.

    Psychoses typically commence in the most productive and critical period of life – late adolescence and early adulthood.

PRONIA

PRONIA patent application

Adaptive pattern recognition for psychosis risk modelling

Application number: PCT/EP2014/002154

Summary

The present invention relates to a method and a system for an adaptive pattern recognition for psychosis risk modeling with at least the following steps and features: automatically generating a first risk quantification or classification system on the basis of brain images and data mining; automatically generating a second risk quantification or classification system on the basis of genomic and/or metabolomic information and data mining and further processing the first and second risk quantification or classification systems by data mining computing so as to create a meta-level risk quantification data to automatically quantify psychosis risk at the single-subject level. Preferably the first and/or second risk quantification or classification system(s) extract specific surrogate markers by multi-modal data acquisition and/or the surrogate markers are categorized and/or quantified by a multi-axial scoring system. Data can be controlled and outliers can be detected and eliminated preferably by determining cut-off thresholds. More preferably an outlier detection method transfers the brain image into a calibrated image, a segmented image and/or a registered image. Uni-modal data can be further generated and optionally optimized on the basis of the data acquired and one or more similarity and/or dissimilarity between the multi-modal data and the uni-modal data can be quantified.

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