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Monday, 05/03/2021 7:56:05 AM

Monday, May 03, 2021 7:56:05 AM

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$GTCH announced that GBT Tokenize (“GBT/Tokenize) achieved viable Kirlian Electrophotography techniques conclusions and is now investigating possible health related correlations and application implementations. The Kirlian techniques potentially aimed for inclusion within its qTerm device, are based on the phenomenon known as electrical coronal discharge. Images that are taken using these techniques present a colorful so-called aura which can be interpreted in a variety of ways. The human body emits various radiations such as electromagnetic radiation, infrared, low level visible light and ultraviolet radiation. All these emissions are part of the human energy field, also called the biofield. This human biofield carries unique information which may be useful for diagnosing or predicting early health conditions and symptoms. GBT's research is focused on the investigation of Kirlian images with the use of machine learning technology to possibly detect early disease symptoms. GBT’s research within this domain included imaging analytics and graphical experiments in attempt to achieve findings to correlate auras with possible medical symptoms. Using advanced imaging algorithms, Kirlian images were analyzed for patterns, associated colors and shapes.
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