Raw LLM Responses

As a temp contracted biology AI author, it was disapointing since there was no hunger for the newly developed ideas and biomedicine nutrition protocol which was developed and submitted as my master's thesis. AI techs were only seeking already scientifically proven theories rather than showing interest in investing my own 3rd party certified nutrition biomeedicine protocol, developed as I studies both Western allopathic medicine and Traditional Chinese (aka) Oriental Medicine in multiple colleges to fulfill academic requirements. Being on the cutting edge of changes in health care diagnosis and treatment is extraordinaly expensive. I could focus on training an AI Assistant or just hope that someone decides they want to test the model. Just as I had done clinically in treating Chronic Fatigue Syndrome, Leaky Gut Syndrome, elevated Prostate Survey of Anigens [PSA] pre-cancer treatments, or female infertility, using methods of diagnosis used in traditional Chinese medicine for perhaps thousands of years to date, some of which were endorsed and tested during the COVID-19 pandemic. [8 Principles]. This model of diagnosis was more observable and measureable than the more subjective methods often used by Acupuncturist, not trained in the 8 Principles model of diagnosis, treatment and pronosis. As a result of my academics, I was invited by Harvard Medical Board the Acupuncture Consensus Statement Meeting in Bethesda, Maryland, in 1977. We drafted to first introductory Consensus Statement on the use of Acupuncture as it was incorporated into the USA medical models. The slow wheels were turning and medicine was advancing in a model that sought to reduce pain and addiction as well. Although that was not the only benefit of using Acupunctuist to treat patients with pain, it was the most costly area in the measure of both lives and economic at that time. This has evoloved even further during the COVID-19 pandemic and continues.