$GTCH GBT will target the PNN to map and vectorize Kirlian images, with the goal of providing classifications according to patterns recurrence and consistencies. These identifiers will be investigated to define classes of potential health related phenomena and symptoms. The use of a PNN goal is to potentially reach a higher level of accuracy and robustness for Kirlian image processing, achieving advanced imaging categorization and conclusions that may provide health related information.

There is no guarantee that the Company will be successful in researching, developing or implementing this system. In order to successfully implement this concept, the Company will need to raise adequate capital to support its research and, if successfully researched, developed and granted regulatory approval, the Company would need to enter into a strategic relationship with a third party that has experience in manufacturing, selling and distributing this product. There is no guarantee that the Company will be successful in any or all of these critical steps.