US 12,469,609 B2
Targeting individuals with optimal safe and effective doses by applying complex adaptive systems metrology to functional brain imaging data and other action variable data
Curtis A. Bagne, Troy, MI (US)
Assigned to Bagne-Miller Enterprises, Inc., Detroit, MI (US)
Filed by BAGNE-MILLER ENTERPRISES, INC., Troy, MI (US)
Filed on Jan. 31, 2024, as Appl. No. 18/428,980.
Application 18/428,980 is a continuation of application No. 18/085,278, filed on Dec. 20, 2022, granted, now 11,935,659.
Application 18/085,278 is a continuation of application No. 17/551,110, filed on Dec. 14, 2021, granted, now 11,538,592, issued on Dec. 27, 2022.
Claims priority of provisional application 63/125,507, filed on Dec. 15, 2020.
Prior Publication US 2024/0257983 A1, Aug. 1, 2024
Int. Cl. G16H 50/70 (2018.01); G05B 13/04 (2006.01); G06F 17/18 (2006.01)
CPC G16H 50/70 (2018.01) [G05B 13/041 (2013.01); G05B 13/047 (2013.01); G06F 17/18 (2013.01)] 66 Claims
OG exemplary drawing
 
1. A complex adaptive systems metrology (CASM) system for processing functional brain imaging data, the system comprising:
at least one processing device; and
memory storing instructions that when executed cause the at least one processing device to perform operations comprising:
receiving multivariate time-series functional brain imaging data associated with an individual including at least multivariate time-series action variables representing the individual;
pre-processing the multivariate time-series functional brain imaging data;
digitizing each time-series action variable in the pre-processed multivariate time-series functional brain imaging data that has more than two levels to a set of digital time series comprised of zeros and ones to generate analysis parameters;
computing, based on the digitized multivariate time-series functional brain imaging data and the analysis parameters, temporal-interaction scores that quantify evidence for functional or effective connectivity between regions of interest in the brain of the individual;
generating, for a diagnosis or a treatment response for the individual, temporal-interaction phenotypes based on the temporal-interaction scores that account for individual differences, complexity, adaptivity, stochasticity, emergence, and non-linearity in the connectivity between regions of interest in the brain of the individual;
using the generated temporal-interaction phenotypes and the multivariate time-series functional brain imaging data to improve targeting of a drug treatment to the individual, the improvement including evaluating effectiveness and safety of the drug treatment for the individual by monitoring changes in brain connectivity patterns of the individual over time;
targeting the drug treatment to the individual at a determined safe and effective dose according to the evaluating;
generating a recommendation for administering the targeted drug treatment to the individual at the determined safe and effective dose; and
administering the drug treatment to the individual at the targeted safe and effective dose.