$GTCH "We believe we have reached a viable conclusion with our Kirlian electrophotography imaging research and intend to now move to check correlations possibilities for detecting early disease symptoms or conditions. It is believed that Kirlian images of a living tissue produce energy level called auras. We graphically analyzed these images and reached some consistent findings. We plan to further investigate the possibility to determine about the identification of onset health issues that are reflected by image’s colors and patterns. An AI engine will be further analyzing unique patterns with the goal of finding association with health symptoms. We will look for full and partial similarities, repetitions, or atypical auras patterns. Each image will be digitized and pixelized to categorize patterns/colors and to get a comparative analysis between images. We will investigate body’s organs radiations, their graphical representation, and possible connection with health-related topics. Upon further research and conclusions, we intend to evaluate possible implementation of such technology within our qTerm device to enable further health related advice. Our goal is to use this research to offer an extraordinary vital health related information that may benefit individuals, scientists, and physicians.” Said Danny Rittman, the Company’s CTO.
https://www.wsj.com/articles/gbt-tokenize-ach...35?tesla=y
https://www.wsj.com/articles/gbt-tokenize-ach...35?tesla=y
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