Dr. Ziad George Presents MedOnect at LSI USA '23

Transcription

Dr. Ziag George  0:05  

Good morning, I will start my presentation with an end slides with the four takeaways that you're going to take from what I'm going to say now. And these are scientific facts. So basically, I am a doctor in healthcare management and biotechnology. I've been dedicating almost more than six years in studying cancer. One of the facts scientific stacked and that I'm going to tell you about, and I think it's one of it's called multibillion dollar secret about cancer. Tumor happens inside the cell, when cancer frequency becomes less than 20 hertz. So anything inside the cell that leads into a reduction of frequency less than 20 hertz, then there is a tumor in the cell. So this is one of the first takeaway. The second takeaway that I'm going to tell you right now is, right now it's the era of cancer of wiping up cancer. And we see the government we see the private sector with with you see a lot of healthcare universities, they have doing successful events and studies in wiping up cancer. And one of them is manufacturers of the COVID vaccine. It was not a coincidence that one of the manufacturers of COVID vaccine right now is doing hard to create a tumor or a cancer vaccine. Unfortunately, scientifically, that's going not to happen, because for a scientific fact, that cancer disease attacks the cell in a different ways than any other disease. So having, having only a vaccine could work from 0% to 100%, according to each patient's circumstances. So what's going left is another four takeaway, which I'm going to I'm going to present right now. And which is revealing, then you chat GPT for cancer treatment. So we started as, as I said, our company in 20222, was elected by life sciences journal as the top 10 immunotherapy cancer products. So you can google metal and act. And you can see life science journal was elected, it has elected metal like life treatment device, as among top 10 products worldwide among 1000s of products. What's our vision, our vision is to have a safety, painless treatment for cancer patients, you will tell me that is impossible, I will tell you, it's impossible. For another fourth takeaway. It is it's important to note that most cancer patient, they don't die from cancer. It's the same as I told you before. It's the same it's not a coincidence that COVID vaccine manufacturers find that the most of or their, basically their vaccine worked for, for covered, it's the same thing. So most of the cancer patients die from other diseases that's related to two different organs inside the body. Related that specifically to the immune system. So that's important to know that that tissues in the body are one of the most important element to treat cancer. So saying that cancer itself, you know, we hit the cancer cell itself does not going to work 100% You have to have the multidisciplinary approach. As I have said, we're working on on a solid scientific solution right now. or for for cancer, our slogan is to complete at night compete, because we were not intending compete other companies were intending to complete them. Here also we can, we can, we can know that our, our our work is is implemented through artificial intelligence. And regarding the artificial intelligence here we have a need for for the new chat GPT for cancer treatment as are going to reveal right now, which is called cancer under control. As I said, the journey started long time ago, but officially, our pre submission to the FDA was in December 2018. And we provided the FDA with all the scientific data plus rich literature review in January 2019, we got acceptance from the FDA, to continue our clinical studies. We continued our, our journey and also we ended up right now in the end February 2023 By applying a basic of the artificial intelligence through through the applications that I'm going to reveal, and the language is called Ensamble Approach, which is the this language of the AI is the most suitable language to treat the tumor and this is what what we have discovered, we have during our scientific studies also we discovered that that training or training the artificial intelligence to in sample approach to deliver the right radio signal, so our product is just to deliver right radio signals through through only a medical vest that the patient can wear at home. And and you know, for everybody who is who is here in the healthcare, they can know right now that the the H H s and BARDA organizations are are tremendously and working hard to our to support the healthcare treatments at home. So, so we don't need it to be we need it to be painless, as we said in our mission. So we can you know, the patient can work the device at home, supervised by the oncologist, the oncologist has an application, which called cancer under control. The cancer under control has 10 steps, the first step up will tell me how that works. So that works to a very sophisticated, modern scientific business model, the scientific and business model, basically, the scientific model is there is three, three separate parts of the of the whole cancer under control. The first step is we have a center, which is the hub. So the hub is built in a very scientific approach that can send certain frequencies as I said, you know, like, as I said, in my first presentation, that cancer start with minus 20 hertz, though. So the more if you hit one megahertz for the cancer, then the cancer could revert back. So our our mission is not to fight cancer, because if you're going to fight cancer, you're going to fight the cells and the cells there are interrelated inside the organs, then you are fighting the human being itself. So these are the steps, the steps of of the, the AI application. The first and most important is detect the mass of the tumor. So once you detect the mass of the tumor, you can see how it's effective inside the organ and the cell. So and this comes a long time ago from basically and each time Formula E equals MC square. So energy is equal mass. So once you have the mass you can define the energy. The second stage is we compare that patient's current condition to the database. So we collect database from the government and from the government sides, MTC scans and other private hospitals in order to compare them with the existing existing situation of the patient. And we go and collect as many as we can the medical history of the patient. So we can understand exactly how how that could work with with the situation. I'm going to wrap up basically, because there's lots of things to talk about. But I'm going to go to the last slide, which is these are the steps. So we have that treatment, the treatment plan, and then we schedule the treatment to that, and then we have a report with tuning the frequency. And after that we do the multi multidisciplinary approach. This is the pipeline as I said, so we went into the FDA process. And we're now into the clinical trials process. Basically, we're that that could be embarrassed by our product could be embarrassed by the SCMs. And we're We're now here to partner with many as as many as we can, especially in terms of funding and in terms of people who can help us also to work on the in sample approach of the AI thank you so much.