American Heart expert Dr. Shen on real heart science replacing outdated and wrong systems.

➡ Today, Michael Jacob from Unleashing Intuition Secrets interviewed Dr. John Scott Perez and Dr. Joseph Shin. They discussed a new AI technology developed by Dr. Shin, a renowned cardiologist, that can accurately diagnose the human cardiovascular system. This technology, called the multifunction cardiogram (MCG), is FDA and ISO certified and can also track diet, healthcare, and lifestyle. They also discussed Allison V, a garlic product developed by Dr. Perez, and its relation to heart inflammation and other cardiovascular therapies.
➡ A man named Joseph helped his neighbor, a former CEO of Pfizer, discover a serious heart condition through a stress test. After successful bypass surgery, the neighbor invested $5 million in Joseph’s company, which uses advanced technology to develop heart medications. Despite facing resistance from the medical establishment, the company has managed to thrive and continues to push forward. The technology they use has evolved alongside advancements in computing, and they believe in the potential of AI to further their work.
➡ Dr. Sin uses real patient data and advanced computing to improve healthcare. His company focuses on data and algorithms rather than heavy computing power. They use a two-track system: a research development side that can experiment freely, and a locked-down operational system that is safe and effective. The company’s technology is used globally, including in Japan where heart diagnoses are particularly challenging.
➡ The text discusses the process of setting up a PowerPoint presentation and the challenges faced during the process. It then delves into a complex discussion about a new technology that uses mathematical equations and machine learning to study the cardiovascular and cerebral vascular systems. This technology, which is ahead of its time, can detect heart and brain dysfunctions due to various causes. It also has potential applications in various fields, including athletics and military training, as it can help individuals understand and improve their health and performance.
➡ This text discusses a new technology that can detect health issues in humans and animals, including stress and environmental toxins. The technology, which has 13 patents, uses a system theory to measure the body’s energy network dynamics. It has been used to detect health issues like myocarditis, which traditional EKG machines often miss. The creators of this technology believe it can help everyone, especially in the wake of COVID-19 and its related health complications.
➡ The current medical system often overlooks early signs of heart disease, focusing instead on late-stage symptoms. This results in unnecessary surgeries and treatments, costing billions of dollars. A new technology has been developed that can detect early signs of heart disease, potentially saving lives and money. This technology uses complex mathematical computations to analyze data and identify disease patterns, allowing for early intervention and lifestyle changes to reverse the disease.
➡ A customer working in the Hillsborough county sheriff and prison system has been promoting a new technology to help diagnose health issues in prisoners, potentially saving the system hundreds of thousands of dollars. The technology was used to correctly diagnose a prisoner with cocaine-induced heart problems, avoiding unnecessary hospital admission. Despite facing opposition from cardiologists, the company has survived and is now being adopted by the jail and sheriff department. The technology has undergone clinical trials in seven countries and three continents, and has received a CPT code from the AMA, allowing doctors to bill insurance for its use.
➡ The text discusses a technology that can help diagnose heart conditions, which is particularly useful for Japanese people due to their smaller cardiovascular systems. However, the technology is facing political rather than scientific challenges. The technology is now being considered for use in prisons and the military. The speaker also shares his personal experience with COVID-19 and how the technology helped diagnose his myocarditis.
➡ The speaker shares his personal health journey, including struggles with diabetes and cardiovascular issues, and his experience with COVID-19. He discusses his work in DNA and protein analysis, which led him to develop a treatment using a garlic plant. He also mentions the importance of a diagnostic tool called MCG in detecting his myocarditis, a heart condition. He criticizes the lack of safety checks for vaccines and the risks they pose, especially to diabetics.
➡ The text discusses the importance of early detection and prevention in maintaining health. It emphasizes the role of diet, exercise, and supplements in enhancing physical endurance and preventing diseases. The text also mentions the use of tools like MCG for monitoring health and the potential of using children’s DNA at birth to predict future health issues. The ultimate goal is to live healthier and better by preventing and reversing diseases early on.

Hello everyone, it’s Michael Jacob with Unleashing intuition secrets have two amazing doctors with us today, Dr. John Scott Perez and Dr. Joseph Shin. We’re going to be talking about some amazing products. We’ve talked about the Allison V already, the garlic product that John Scott Perez developed. And today we’re going to talk about some amazing new technology, AI based technology. Dr. Shin is going to share with us. So give you a little background on Dr. Shin. He’s an American cardiologist who is known internationally. He is an inventor of the multifunction cardiogram MCG electrophysiology AI technology that is FDA and ISO certified.

It’s accurate within 95 plus, accurate within 95 plus with AI and diagnosing the human cardiovascular system. It’s machine based on Trident True system engineering. We’re going to discuss the machine learn AI history of McG and how the technology works. We will discuss the MCG can baseline your cardiovascular machine state and also be used to track diet, health care and lifestyle. Sounds very fascinating. The discussion will highlight Allison V relative to SARS CoV2 heart inflammation as well as any human therapy or supplementation that is cardiovascular related. Gentlemen, thank you for you know, joining me. And Dr. Shan, you want to give us a little bit deeper background on your yourself and your technology.

I’ll be happy to. My name is Joseph Shen and I call myself a liberated, independent thinking physician. And by the way, let me clarify, I’m glad I’m not a cardiologist because I believe that cardiology itself is a captured profession, let’s just be frank about it. And I believe that there’s much more in the human physiology information that come out from the particularly the mitochondrial network of a human body that’s this amazing creation. And that information is way beyond the boundaries and knowledge of allopathic cardiology of the 20th century. And the reason I got involved was I was a volunteer contributing data to the first generation developers, the professors.

We came up with the theory behind this which I’m going to talk about a few slides so you can understand exactly what the theory was all about. Basically my job was to contribute data and look at what’s real, what’s phony and what’s good, what’s ugly and what’s bad. And so over the years we develop good relationship with its first generation people. They noticed that I do have certain ability to do things that, that they believe they can lend a trust to me. And then in the 1990s, late 1990s, my professor is ready to retire and he said Sat me down.

He said Joseph, we want you to lead the next generation and make this technology available to everybody and commercially successful. I was really flattered and I was petrified at the same time because I understood during that period of time learning look at all the data. And one thing that really started me was the difference between the real world data and what’s really published in peer review. Literatures, okay. If you can call them literatures, okay. The gap was so huge and there just didn’t make any sense to anybody because if you look at the, the, the real world data, the 125 year old EKG now by this year never really worked, okay.

The accuracy to detect late stage diseases at best of the 15%. Okay. It doesn’t even reach the 50% mark. Okay. And we look at the published data so rosy. Everything was so great and you know, unbelievably transformative technology. And then I said what is the diff? What, what happened here? And it doesn’t really jive, you know. And real data, it doesn’t work and publish your data. It’s like it’s a best thing if. Next slide read. So then I learned more and discovered that was actually an academic echo chamber and people basically confirmation bias. They completely confirmed each other that tap each other on the shoulder.

They go to the same country club, they go to the same conferences and paid by the big pharma and their buddies, okay. So they support each other. Whether what they present is real or not really doesn’t matter to them. But to me as a physician, I was trained a physician. My job is for my patients. So that really outraged me. Okay. So by 1997, 1998, I had to make a decision, a moral decision whether I would continue this allopathic brouhaha. And you know, I call it kabuki, dance theory, theater and basically keep being deceived, that keep deceiving everybody else and believe that you’re doing a good job, pat yourself on the shoulder and that make half a million dollars a year and go home happily every alter I could not live with myself.

Okay. I said this is, this is like existence. Yes, it’s comfortable, I’m making good money, but what’s the purpose of life? So so long. Behold the two major events collapsed and coming in. And as the professors set me down for this and I was really honored and it was honored, but also, also really, really frightened because I know that the resistance we will be facing would be tremendous. Okay. Because the narratives are going to. Can you tell us what school? Okay. Can you tell us what schools you, you went to? Yeah, I went to medical school.

I, I, I went to a liberal, liberal art college as a, as a immigrant and worked full time, went to liberal college, Lewis and Clark College and studied the natural sciences. Then I got into medical school. I got into a California medical school, the California College of Medicine in Irvine, California. The reason for that, because my wife got a good job in the, in the accounting firm in Newport Beach. So I said, well I tagged along with you because you’re the one who’s making money, I’m the one who’s consuming money. I better follow you where you go.

So I went there, they gave me some scholarship and I went to medical school, graduated. And then during the medical school era I found that one really interesting phenomenon. This physician is trained medical physicians trained there. They’re really not into basic science like physiology, biochemistry. But those are the things that I really dive into very, very deeply. So particularly the one that graduated become orthopedic surgeons and cardiologists. I don’t want to talk them down. These guys really didn’t want to study and, and those things that to me as important as physician. So actually came to me for tutors, tutor tutoring just past the exams.

So so basically what I graduated medical school, then I got residency study and I chose to do physical medicine because physical medicine actually it’s the fixed carnage after the patients pass through the allopathic, I would say the mess and survived. So by job we try to fix them. So also I have affinity to engineering, the gadgets and things like that and electrical medicine, emgs and neuroconduction studies. All these things are more more physiological basis. And then I met the professor, I became the volunteer. So I, I, is that at UCLA that you did your residency, Dr.

Shin? I did my residency in, I went to UCLA for a graduate, graduate program for biochemistry. Okay. And I went over there. But then I same time I got accepted medical school. So I didn’t complete the biochemistry course master degree. I went to medical school instead because I always wanted to be a doctor. Okay. That was, that was my, my lifetime goal. Then the revelation of meeting the professors and being volunteered and look at it another, beyond the allopathic, you know, realm of things. And I became basically I was a reluctant insider. Then I become a self chosen and I would say outsider and I just want to be an outsider because I believe that only the outsider can see through the system and maybe can do something that contribute to its fundamental transformation.

And so this was lifetime, lifetime experience, lifetime Opportunity I could not pass by. So I sold everything I have in this world. Possession. And with permission of my wife, of course, my. My son, thank God, a supporter of my. My. Even my neighbor supported us and my friends. So I just jumped and started telling who your neighbor was. And yeah, my neighbor was actually former CEO, chairman of Pfizer. Yeah, Edmund Pratt Jr. And because, because, you know, he wanted to see our technology and he liked my son. He came to the garage. I was working the garage.

He said, what are you trying to do? So I explained to him the mathematics behind that. Yeah, I know, I know Lagrange mechanics. And you’re trying to make this into a thing for a hard machine. I said, also for a brain machine. He said, oh my God. Okay, take your gadgets to my house. Let me all my friends tested, see how they fare off. You know, I tested 11 guys in a party and it happens that only one guy stick like sore thumb. It was his best friend at that time. It was the fighter, the corporate council.

And these two guys, you know, rode limousine to Pfizer from Long island to headquarters. Every day they share the same copy of Wall Street Journal. They’re like brothers, right? And he lit up a Christmas tree. He said, joseph, are you pulling me, pulling my legs? I just had my stress test and my. And your physical, everything was fine and dandy. You know what? You. You’re trying to impress me. I said, no, sir. What do you see what you get? And you don’t have a believer word. It says, but show this to your cardiologist. So he showed this to the cardio.

What is it? I’ve never seen this before. Don’t worry about it. Toss in the trash. So six months later he called me and he said, that was Christmas. He said, joseph, Merry Christmas. I said, oh, Mr. Connors, where were you? I thought it was like Florida with his family. And he had a big, you know, typical Irish Catholic family. Had like 30 people and in the family and multiple generations. He said, I’m actually at Columbia University. I’m getting a bypass surgery Christmas Eve. Can you believe it? He said, oh my God. He said, I want to thank you for saving my life.

And I thank you that your report. They really found out that he had a quad quintuple bypass surgery. And I said, oh my God. Hold on, let me test you. The surgery will be tomorrow and I’ll come to see you and I’ll bring machine. You make sure that they allow me to bring the machine and test you is I’ll make sure I Block everybody who wants to stop you. So I test him and you know, before six months ago, he scored on MCG about 11, 12, 13 point. Okay. And category G, category F, F and G, Very, very high categories and very severe ischemia, very bad.

Then after surgery, 48 hours later, they did excellent job and his score was 4 from 13 down to 4. So the surgery worked, fortunately. So my neighbor became my instant evangelist. He knocked on the door with a 5 million dollar check. Person to personal check. He said, Joseph, I want to give you the $5 million, invest in your company and I want you to succeed and give me 10% of your company. Could I say no to him? Okay, you know, thank you very much. You know, I needed the money anyway. And by the way, who was a CEO of Pfizer, his name is on the.

Duke Engineering School. Yeah, Duke Engineering School. So it’s not just any neighbor. I mean, this guy, he had a vision and what his vision was was to use this technology, okay. To help Pfizer develop heart medications. Some exactly. Had been on the shelf. That actually works. That was his dream. And actually, you know, it was very admirable dream of his. And, but he said, you know, Joseph, let me tell you, you want to get into this medical complex, industrial complex. He literally say that it’s going to be resistance. It’s going to be very difficult. I’m going to do everything I possibly can to help you.

But you have realized you’re, you’re facing very stiff uphill battle. Okay, And I understood that every, I remember every word of that. But long story short, long story short. And over the years pass, pass by and we, he was right, experienced a lot of resistance from the establishment, basically to the point that they literally wanted to destroy our company. And when I talk about the slides, we’ll bring this whole story forward so you understand what the background is. But anyways, you know, somehow we managed to thrive and thank Jesus, allow us to exist like this. And we’re here, we’re still trying to push forward.

Now things are opening up and a lot of people now recognize I work and you know, John Scott is just a wonderful friend of mine and he’s promoting us everywhere he can. He’s a, he’s also my evangelist friend. So, you know, it’s an honor. And so that’s me, I can, I can stop my rambling now. That, that’s, that’s fantastic. So we know that big pharma, they, they do have good intentions. There’s, you know, they’re some bad intentions, are in there. But they’re like you experienced. Dr. Shin, there are good people within the exact every. Yeah, any.

Any field anywhere. There are good people, there are bad people and they just have. You have the good ones, you have the. It’s not so good ones, then you have the ugly ones. Yes. And you and your company are one of the incredibly good ones and we want to help you succeed. So yeah, we’re definitely going to, you know, talk about this and get it out there. So I think a lot of people hopefully will see this and continue to move forward with it. Believe me. I. We need all the help we can get. So that’s it.

That’s my story. And you know, that’s fantastic. Yeah. Now you had said that you had. This was developed over two generations. Can you explain that to us? And the AI aspect of it as well? Yeah, so. So the. The first generation was my professors and both of them wrote the theory which I’m going to talk about in the slides. And the. Basically two. One was a mathematician and also he studied aerospace medicine. He’s very much like John Scott type of person. He’s a very diverse. He has a lot of talents, he did a lot of things and he.

But he. This is one of these focus foci, so to speak. And then he had a. Another partner and she was a really a professor of mathematics. And so they put the mathematical concept together, the physiological model and from the systems point of view. And they adopted Norbert Winner. So systems theory or control theory. And Noble Winner was a very talented mathematician when he was 17 in MIT and at Harvard he was teaching postdoc on PhD students. Post post prejudice students. Okay. Mathematic major mathematical concept. And. And his major contribution to our technology was his control theory.

Basically what he does that if you have the input of output of any system can be black hole, can be the universe, can be the heart, can be the brain or machine, whatever system. If you can interrogate, use input or output information, you can interrogate internally, use mathematical relationships. If you understand relationships, you can explore the system without breaking into pieces and you can know everything there is to know about the system and without even destroying the system or even hurting the system. That was so attractive to us. I mean to me it’s like this is a magic.

This is absolutely magic. So then the professors, because the complexity of the mathematics had to build the best computing system to generate algorithms and the matrices based on the real data and mathematical brain to study the real data and put together with the computing power to come up with algorithms. So you have three things, you have the mathematical brain, you have the real data, then you have the computing power, which basically is driving the speed of computation. Then most important is after loads combination together, you create the algorithms, which is really where the human intelligence is.

And we believe that the neural network, which is the best machine learning, neural network, were the best tools to do this. Now that time when we’re doing this and in 1990s, 80s and 90s, AI was the instant winter. Everybody was pooh pooh about it. It was pooh pooed upon everybody. And we were the ones that actually said, well, okay, you guys can poo poo it. But we believe these are really the best tools for us to really bring its complexity forward and make sure you extract every bit piece of information can give us what the real physiological reality of the human brain and human heart really, really is.

So, so that’s the theoretical background behind us. And so, so we build a system faithfully based on the, this control theory, based on Lagrange and Euler mathematical coordinates, which I’m going to talk about in slides and exactly. These are the mathematical giants. Plus my professors, other ones will stand in their shoulders out to build a system. When you started this. Yes, you guys started, and correct me if I’m wrong, you basically started with Fortran and mainframes before modern computing architecture existed as it does today. You grew, you grew, right? All my generations, I remember the first time my professors tried to do a computation on the IBM mainframe.

Okay. Fortran and the one mathematical will have six functions. One function took the machine 12 hours to process. Okay, now we have six functions. Okay. And the microprocessor is so fast we can do it within milliseconds. Okay. So you can see the generations of, of computing development. We actually, our technology grew up with the evolution of computing going forward. So God knows how many generations software will have. We’ll have to. Oh yeah, yeah. So, you know, the importance of this is, is that this AI technology which is, is in the news now, but everything else is part of the singularity that Ray Kurzweil and others have discussed.

Right. And, and, and to be honest with you, the transistor and integrated circuit came from the 1947 Roswell crash. So the integrated technology appeared in Bell Labs, it appeared in Texas Instruments. That was really crude. But that timeline where we’re looking at CPUs, computing architectures, supercomputers and AI allowed Dr. Sin over the years to not only mature what he had because he’s collecting data from real patients and he’s going to talk about all this, it, that curb, it’s not just, it’s all principles. Because the same thing that I grew up in and where I come from, with a heavy computing background, same science where we were back there has been elevated by the technology of, of everything from your, your phone to, you know, that we’re using and we take it for granted, or your toilet seats to utility computing in the cloud.

And so these things mature to where we are now and current events, but also, you know, then you get, you see things like crazy cryptocurrencies and all these other things and they are manifest as a result of computer technology. Computer technology is driving these things. So yeah, it started with the, you know, the, the Chinese, Chinese wooden, wooden panel calculator, right? And then to the Catholic tube, now to, you know, a GPU’s. But we are, we’re a small company, we have limited budget, so we have to be heavy on data, heavy on algorithms, light on computing.

Because computing power now you have, we’re talking about multi billion dollar, you know, GPU farm. And we, we don’t call that because that is for brute force, large language models, and without much too much thinking, theoretical thinking, and also empirical data to verify, to validate every step of time, make sure your system is telling the truth, only the truth. And when you tell the information about somebody’s heart, you better be damn right you’ll be correct, okay? Otherwise you’re doing disservice to the people you’re trying to serve. So that’s our principle. You have a mathematical principle, you have first principle, then you have real people data, they have the algorithms supported by computing frame that light on computing power, more on brain power.

And the brain power is expressed by the algorithms that we created over the years. We keep constantly improving, optimize it, you know, internal verification, validation, external verification validation. Make sure we don’t, we, we don’t lie to people, make sure the system does not hallucinate, okay? Also what we do is that we have two tracks. The research development side is a full fledged neural network, okay? It can go wild. And then when we converted that results of that work after the empirical data and the verification validation and make sure it works and internally, externally, then we lock it down, okay? This is the purpose of the system.

You’re not allowed to deviate from that because we’re talking about humans lives, people’s lives. So we have a working system and then we have a research development system. Research development. You can think wild, you can do things because you’re not going to hurt anybody. But the system we put out there for the daily operations is a lockdown version of that neural network because we know that it’s safe, it’s effective repeatedly. So the bottom line is that no one can declare that MCG lied to anybody because it doesn’t what it tells you. What do you see is what you get.

Fabulous. So do you want to share, you want to share some of your information with the slide? Yeah, yeah, yeah. I, I, presentation. Yeah, let me get the, let me get there. And that website was Premier Heart International, which is an international company. It’s, it’s global and then there’s Premier Heart of Japan. And you know, we’ll kind of talk about that later. But this technology has a special relationship in Japan and with the Japanese, people are the hardest to diagnose. Okay, show screen. Let me start the screen. Let me see. Open system settings. I’m sorry, this is the first time we’re using this, so present.

Dr. Shin, the present at the very bottom. I did, I did, I did. Something went wrong. Try again. Sorry, I apologize. And then hit Share screen. Yes, yes. Okay, try again. Okay, okay. Loading Chrome. Okay. Okay. And I’m a release. I’m sorry, I, I, I, Let me see. Okay, so while he does that, I, I would mention that during this evolution of computing that we’re all living through, you know, you, you’ve got different countries and different patients with their medical records and their conditions, and that data is being gathered through this computer evolution. It’s being gathered and it’s being used in order to, to machine learn the analytics of the cardiovascular system.

Because you need a lot of data. So you, this isn’t like, oh, we just admitted it last week, time type thing or this isn’t a warp speed thing. This is, this is Dr. Jen Kwan Fang, his mentor, one of the professors. He’s going to talk about coming up with a model. Okay, These are high end aerospace engineers coming up with a model of the heart system and coming up with that model and then, and then being able to collect data and machine learn, refine it. And after you do that, then you can start diagnosing people with accuracy after you do clinical studies and there’s been a whole bunch of those.

I’m sure he’s going to elaborate on some, I don’t know where he went. Must hit the wrong button. It’s okay, well, hopefully come back in. We’ll, we’ll try and walk him through the present and then, you know, share the screen. But tell us A little bit about Allison B. What? And how that correlates into Dr. Shin’s work. Well, if. Okay, let. Let’s just talk about the. The MCG first. So you understand it. The mcg. What it does is it takes the signaling, and it demultiplexes the signal using algorithms and diagnoses you as a machine. So it’s kind of like your car, you know, your dashboard in your car.

And you’ve got alarms and things like that. Okay, I’m back. I’m. I’m back. I’m sorry about that. And so can somebody tell me how to upload a slide here? Sure. You go down to the bottom where it says present. Yeah. Click on that. And then at the bottom of that little. Little presentation thing, you get Share screen. Share screen. Very good. And then you go to the top where it says window. Hit window. And then click on your slide presentation. Hopefully it shows up in your windows. It says a Share screen. So I’m going to share screen.

Okay. And then we have our window. Okay, Go to the window. Okay. And. And then click on yours. It should give you, like. Ah. Okay. Okay. Okay, now. Now I got it. Then you’ll be able to see it as well. Okay. Yeah, I can see that. Okay. Ah. Okay. Oh, my God. Okay. I showed everybody’s face. It’s a matter of fact, with symmetry. Escher. Yeah, Let me. Let me get the. Let me get a slice. Slides open. Okay. You can. Okay, just open up PowerPoint or whatever you need. The. The point is, is you. You have to have a.

A AI model of the human cardiovascular system that machine knows and can gather data on with accuracy. And you got to do a lot of clinical work. You got to collect a lot of data from millions of patients to do this. It’s not easy. So when you. When you take the model and you gather the data, that becomes more valuable than the actual machine itself. So the machine is. Is a. Is a piece of user equipment. The processing occurs in the cloud, and it’s in a neural network using modern technology. So it’s faster because of the computing.

Evolution of computing and the ability of the machines to work faster. Okay, so I think I got it. Awesome. Do you guys. Can you guys see this? Yep. Okay. Okay, so we’re good now. So I can sort of start basically, the first PowerPoint. I. I can’t see your PowerPoint slide. I. Okay. You’re on your. Your screen that you’re sharing is the streamyard. Oh, okay. I. Okay, Let me use the. You want to do a PowerPoint I can use PowerPoint, no problem. It’s the other screen. Dr. Shin, select the other screen. Okay, hold on. You just click right in the middle of it.

I have. Okay, just let me open the PowerPoint download it. Okay. I’m sorry. It’s okay. Stream yard’s a little bit different than Zoom or, you know, do Stop screen. There you go. Click on stop screen and then we’ll start you from the beginning again. I think you’re just. You’re having a problem getting it. Okay. No, no, not stop camera. Dr. Shin, leave the camera up there. Okay, see? Okay, present. And Then pick the PowerPoint screen. Present. And then pick the PowerPoint window. I’m sorry. Okay. PowerPoint window. I’m sorry. I apologize. I’m not good with those kind of things.

Let me just say. Okay, PowerPoint. Okay. All right, got it. Ah, okay. Does that. Do you see it? I think I see the. I see the stream yard window. You’re. You’re presenting the stream yard window right now. It should have an option to select the window. You’re on the window. Thread the thread to the window of streamyard, which is in your Chrome browser, versus the select. You need to select the window that’s rendering your PowerPoint slide. Okay, let me see. So that should be on the present, right, I think. Yeah, that one. Yes. Slides. Pd. Yeah.

Present. Okay, got it. And there’s no slide here. Well, your. Your computer. Okay, my computer. Upload files. Okay. Ah. Okay, now we got it. I think you need to stop screen and. And then when you start it, you need to select the PowerPoint window. Yeah. Okay, hit Stop screen at the bottom. The hip. Now hit present. When it comes up, pick the window. That’s PowerPoint. Okay, that’s what I’m doing. And actually, I can’t see. I can see myself. I can see the. The PowerPoint. Okay. Ah. Okay, it’s open now. Why does it say. Why is it showing.

Do you have any idea why it’s showing his Google Chrome that he’s. Stream yard window. He’s clicking on this. He’s going to have like, you’re going to have two different screens, I guess. Dr. Shin, you’re clicking on the one that shows us. Click. Click on the one that shows your PowerPoint. Okay, so when you hit, you’ll see the window. And when you hit the window, if you have it up on your computer, it’ll. It’ll have the. The actual. Okay, present. Okay, present again. And Share Windows. Your screen. Right. Shares. Share screen. Yeah, you can share the screen, but you’ll have when you share the screen, you’ll have to minimize your stream yard window and then you’ll have to.

You know what? I’m gonna. I’m gonna show the entire screen basically. Okay, you can do that. Share the screen. Yeah. Stream yard window and maximize the PowerPoint window. Okay. I just did. There you go. Oh my God. What? What a saga. It’s okay. No, I mean every. Wait. I’m sure each one of these portals is a little different. I apologize and sincerely, this is valuable time for everybody. But anyways. Okay, let’s go to the. Okay, so. So here’s it. I’ll talk about it. 120 year old, 225 year olds obsolete. Okay. And basically years of data collection.

EKG is a fail. Okay. And so why fails? Because the echo chamber, because the confirmation bias. So I’m going to skip those. And our mission is to build a system to assist bedside diagnosis of heart and brain dysfunctions due to supply and demand imbalance due to any cause. Okay. And could be physiological, could be a lifestyle and it could be anything that can cause supply, demand imbalance dysfunctions of these organs. It’s all fair game beyond the convention, beyond the allopathic religion. And so the goal is to solving the most challenging issues in diagnosis such as early detection and monitoring of heart and brain dysfunctions due to all causes.

And premier Hart’s technology is a builder set of first Lagrangian and Euler mathematics and Nobel winners cybernetic control theory principles to really embrace the entire cardiovascular system as cerebral vascular system as systems instead of bits and pieces of a reality. And this first of its first of its kind in biology and in physiology. And we basically looking at extensive application of best computational AI tools and digital signal processing and deep machine learning neural network techniques over the years and two and a half generations. So we decided strictly follow the principles of scientific method to design, build and test the system we built.

And so our research is ground based on the rule and reality based on decades of empirical data gathering, vetting and supervised machine learning and meticulous process build reliable and trust worthy test beside test to help everybody. And we have gone through internal external validation processes over, over and over and again make sure that our data is 100% empirical evidence driven, not based on hallucination or imaginations of the creators. So really we’re leading the new era of applying machine learning and neural network to digital medicine in the 21st century. And even over all these years we’re still way ahead of everybody and even some of the experts reluctantly said technology like this is impossible.

They should not be available until 2050. But we’re here. They were wrong or prove them wrong. So here’s one of the books that introductory books of the theory that introduced by our professors. I just show you some pages and I help translate from Chinese to English. But there are volumes of books written on this topic. And so my goal is to make sure that every one of the page will be translated into world language so everybody can have access to this. So here’s the theory, here’s the mathematics behind this. Okay, so we’re talking about basically a combination of a Lagrange Euler equations and into this oil Lagrange or Lagrangian Euler mathematical complex called basically the system theory behind you look at two functions and you have the Lagrange, then you have Euler those two coordinates.

Now the, those two dimensional plot of six dimensional mathematical concept is, doesn’t do justice to the complexity of the system. So we basically take one point which is on your chest on a V5 close to your heart. Another point is on your right from the right wrist to left leg. And the signal is completely resting collected. Then we’ll do a bunch of mathematical transformations through the system to interrogate the entire system to make sure we extract every piece of information there is possible to to represent the the system we’re trying to study. Now here is the fundamental six mathematical transformations.

And I equate to this as a Maxwell’s four equations to describe the electrical magnetic relationship between electricity and magnetism. And here we’re talking about supply demand of the heart muscles and blood flow or brain tissues blood flow of the two organ systems. And each function represents a very complex system piece of system. I’ll just give you one example. Due to its time, just look at phase angle shift, okay? And the phase angle shift is very interesting equation. It allows you to look at the phase difference between V5 V2 if there’s any asynchronization. Because the two clocks mostly kick in sync.

Okay, it doesn’t matter, they’re in different space. But if we measure any difference out of sync the frequency band, we can pick up immediately diseases like ischemia and heart muscle damage, myocarditis, all these things can give you abnormal signals exquisitely. We can pick them up. So it turns out all these six functions carry very profound deep physiological meaning. And each function will, you know, have multiple volumes written on its relationship to chemophysiology, which I’m not going to elaborate here without, without going deep Dr. Shin, on those six functions. Yes, just a comment about it. These six functions are used in system engineering by real world engineers, mechanics.

Absolutely, absolutely. To build machines. And they use this technology for the machines. So exactly here, these six algorithms are. The human machine exactly. Is coded by DNA that was engineered by a code. So, you know, it’s logical. On what Dr. Jin Kwan Fang, who wrote that book, and what Dr. Shin has done, it is a logical mathematic. Well, we’re looking at human mathematics. Remember, we are human. We’re not perfect. So these are human equations. But the point is, this is the best of what humans have and the best of what engineers have that are humans that, that do this work on all kinds of things.

Everything from, you know, a Boeing 747 to, you know, F35 strike fighters. Exactly, exactly. And that. That was really. When I showed this to Mr. Pratt, my neighbor, Edmund Pratt, he was shocked. He said, you’re telling me these functions actually apply to human biology? I said, not only they apply to human biology, also they really apply to the power output dynamics of the cardiovascular and cerebral vascular system. And guess what? Those are actually driven by the mitochondria network. So here on the theory, we actually discovered the theoretical framework for the mitochondria network. Okay. Because the power actually translated to ATP.

ATP transfers with power, you can link mathematically between the biology and the digital realm of the biology. Basically, it’s a mirror, a digital mirror of the. Of the human mitochondria. Yeah. One more comment also. Yeah, go ahead. Okay, so for Mike and. And anybody who has gone through a program like Seal Team 6, okay. Endurance and mental capability, your cardiovascular system powered you through hell week. And everything you did professionally, which involved you and athletics and stimulus and strength and all of that, this system can benchmark you. Just like you got graded by your mentors. It can benchmark you.

So the value of it to like a soldier or military or athlete, not just a regular old person that’s worried about their health, is that you can understand the hidden things about yourself and your cardiovascular system, and you can make diet adjustments or exercise adjustments and improve yourself as a machine relative to your goals. If your goal is you want to make Seal Team 6, or your goal is you want to make the NFL or you want to play baseball, or. Or you just want to, you know, be healthy. Once you have an understanding, using a system engineering algorithm, you can benchmark and measure yourself and improve upon it as a machine.

Absolutely. And the application. Yeah, the app, the applications of this, this framework is absolutely Vast can be applied to a space travel computer, deep sea diving at high altitude, mountain climbing, mountaineering. I’m talking about industrial, industrial activities and you name it. And the major toxicities of the environmental agents, the food, processed food, toxicity of any drugs and the environment and also toxicity of people’s stress that caused by emotional stress or physical stress. All these are fair game. So it’s really a new world, a new principle philosophy to look at how the human physiology, biological energy network dynamics is really supporting life.

Okay? So anything causes the system, the supply demand, imbalance, this is it. This will pick it up. Okay. The reason I said that the allopathic medicine is a bit and piece of unreality is they’re focusing on bits of piece of the late stage sickness for profits. And so they don’t pay attention to these things. They think these things is just fearless. You know why? Because what we present really doesn’t fit their common narratives. Okay. And that’s another reason they hate us. Because we can, we can point out what they’re doing to people is absolutely atrocious and we can prove data to provide to them.

So that’s another reason that we work hard to make sure that this technology is the light of the day. With you guys support, with everybody’s help, we can help everybody. Everybody. All the inherit inhabitants of the earth or beyond earth, not just, just humans, but animals will benefit from this as well. Yeah. Okay, let’s go to the next question. And you can tell with this machine you take a vaccine and you start to feel bad and collapse. You can see exactly where in your cardiovascular. Exactly, exactly. Let me give you a recent example. Yeah, exactly. Yeah.

In minutes, you know, we take about 10 minutes to do the test. But the bottom line here is this. I have people calling me now and that they have been using our technology to do exactly like that. I’ll give you example in Idaho. And there’s a pharmacist, okay. His name is Scott and he was pretty severely injured by his Pfizer vaccines, okay. He developed a severe reaction to it. He nearly died from it I think. And then he said everything else, I’m healthy guy, I don’t have any problems, everything’s fine. And all my medical records that didn’t say, didn’t say I have any problems.

Then MCG detected that he really had actually myocarditis. Okay. And so then they, they major, his spike protein antibodies, he, it was sky high. Okay. So then he, he sort of, oh well, you know, what can you do? So then three months later he Became worse and he tested on MCG again. MCG this time also got worse in parallel. Now mcg was completely objective, completely outside of his story. Didn’t know anything about his story. Basically gave me objective data where is. So then he got bumped into a bunch of holistic care and people who do, you know, alternative medicine.

And they put her, put, put inside a protocol, a detox protocol. And guess what? He recovered. And then subsequent mcg sh. Yeah, he really improved tremendously functionally. So now they’re going to use this story to say, hey people can, can, don’t despair, we can help people because there may be solutions we can do. And also Scott’s protocol and should be used for, for that purpose as well. So we can use those tools objectively demonstrate to everybody that the help is here. Okay, we can help everybody and is very modest because I’m going to tell you something.

Those algorithms and all of that, there are 13 patents, okay? And Dr. Shin, who’s a medical doctor, designed the electronic circuitry under that Panasonic brick, which is military grade brick. Underneath that is special circuitry to handle. You don’t just collect this data. This isn’t just like I put a lead on and it’s just a lead. Yeah, that’s the lead. It’s behind a proprietary technology that handles signal to noise and amplification in order to collect very sensitive data. Because if that data is not collected correctly, first off, it won’t, it won’t be a value. But it, what I, what I’m telling you is, is that an EKG machine or an ECG machine, they just plop leads on you and when they pop those leads on you, it’s a raw data feed.

It’s not, it’s not in any way shape or form an electronic technology to handle signal to noise, which Dr. Shin developed to take that signaling to bring it in to be able to even collect that data, to even be able to do AI on it using computer technology. It just simply didn’t exist. So we got 13 patents related to this. Yeah, I’m just one of those contributors and as I said, I’m the worker and I implement this theory and build the machines to make sure it really works and make sure it’s safe, effective, and put my name on this.

I want to make sure that I’m not going to hurt one single soul on this planet. I want to make sure the technology only does help everybody. So this technology, especially right now, I think could be extremely valuable because after Covid and Covid vaccination Programs. Oh yeah, we’re seeing myocarditis has exploded. Empirical carditis. And you know, and I remember a study in Japan where it was like, they didn’t, they didn’t hold back, they said it was like epidemic there. So, yeah, this, this technology is really needed right now. Yeah, yeah, that’s true. They’re very true. And actually the pharmacist Scott story was very typical.

I mean, he’s just one of the hundreds, maybe millions of people affected by this. So we can really help everybody. That’s bottom line. We can measure if whatever the person is getting treated really works or not. Okay. Yeah. Objectively. First, do you have a problem? If you have a problem, okay, is your treatment working? And it’s all 100% objective? Okay. There’s no guessing, there’s no bias and what you see, what you get. And another thing I want to add what Scott said was very important. The reason why EKG didn’t work, because it’s a theoretical foundation, was built on somebody’s imagination, which is Einthropen said a heart, human heart is like a battery.

You have a plus minus dipole and projected three dimensionally into vectors, then record vectors. Voila. Here’s the electrical signal of your heart. They call it electrical cardiogram ekg. Right. However, in real situation, in biology, that plus minus isoelectric point doesn’t even exist. Wow. Where is it? It’s imagination. So then the entire 125 years the echo chambers of academia published all these things, they just believe that theory? That theory has never been proven, gentlemen. Wow. All right, so now, now work from outside in. We collect the power from each cell of your body collectively. Using the system theory six functions, we show you what the reality really is.

I think it’s just opposite because I think the heart is driven by all the mitochondria, all the cells, all the power generated by your body to drive the circulation, to drive the system, drive the power, drive flow of the blood flow, drive nutrients and the nerve conductions and all the things, the genetics, the genes behind it and the intracellular organelle. And basically we’re looking at actually two major metabolic pathways. One is called mtor, the other one ampk. Those two major metabolic pathways are really driven, completely depend on the energy power delivered by the mitochondria. And we’re measuring that.

We’re actually measuring that. Okay. So that’s why I’m very excited when talking about these things because we, we all, I think we hold the key to the, to the secrets of, of how Human brain and heart, or animal brain and heart, really behaves physiologically and builds on real data. So let me just give you a flow of chart of this monstrosity. Yeah. And I’ll say it because I know you don’t want to say it, but it really is the difference between measuring things with like sticks and, and string and, and doing it with high tech analytical equipment that that’s, you know, measuring it properly.

And, and the sad thing is, is what that did was. And it’s. I apologize, I apologize, I apologize for. Just, just mute it for one second. Yeah, yeah, I did. Today. The, the truth of the matter is, is that cardiologists in the United States, and this is published fact, whether it’s in the United States or in China, are approximately 40% accurate in diagnosis. And that is the result of having any inadequate tools that let you diagnose people. And it’s, it’s really like, you know, you want to behave like caveman. Well, you’re gonna get, you know, poor results.

And that’s. 40% is enough. It’s. It’s enough. So that is what really. Before COVID Dr. Shin was way ahead of his time. But before COVID okay, he was, he was there saying, hey, that kid that dropped on the football field or the baseball field, it didn’t have to happen. Exactly. Found out, you know, and, and this is what happens here. Exactly. And so, so I think the, the fundamental philosophy difference with what we do and the entire allopathic medicine is built on, entire allopathic medicine. They built on late stage sickness seeking profiteering. Okay. I added the kabuki dance theater because they’re focusing on bits and pieces of the reality of this big gigantic iceberg.

And they say, oh, that’s put a flag to that. That’s what we’re focusing on. And guess what? They’re neglecting rest of the system. That’s why 50%, more than 50% people develop heart failure. They’re completely missed by the cardiologists. By the time they had heart failure, it’s way too late. And the only way they’re going to have is a spiraling down, downward spiral and then die early, prematurely. Okay. And also if you look at the, all the imaging tests, all the stress tests are focus on one thing. The visible arteries that you can see on an angiogram.

And guess What? That’s probably 15 most of all heart diseases. Okay, then what happened to the 85%? They’re completely flying blind. The worst part of that, they cannot detect early signs, reversible signs of those heart problems that we can reverse them. Your simple lifestyle and people can really reverse them. Guess what? They can avoid chronic diseases. They can avoid taking multiple drugs. They can avoid going to the hospital, get angiogram, get a stress test and get Pochett on and they put a stent in or do a bypass surgery. All these things are fearless, useless, okay? Wasting hundreds of billions of dollars of taxpayer money and with what Yield Less than 1% yield, okay.

It’s really atrocious. So don’t get me started there. So that’s why I’m passionate about this. I believe with the new pathways, early detection, prevention, disease reversal, we can put a major stop to this chronic epidemic. Okay? And I think the method, people should really love this technology, should take this, run with it, because we can really help everybody. We can save this country billion hundreds of billions of dollars for unnecessary medical care, period. Okay. Period. So let’s go, let’s get started. Let’s get started. So we have these from the chest V5, V2, which is right, right wrist to left ankle, you lay flat, relax and not panicking.

And don’t speak and don’t move, relax for the next five or 10 minutes. Now, collect data, go through amplification and digitization encrypted data and we send us through the cloud, through the Internet, to our server side. Then we’ll be decrypted data. Then we’ll do a fast forward transformation, okay? And that is mandatory because you’re converting time domain into friction domain. And interesting is that when you square the FFT or dft, discrete fast forward matrix transformation, guess what you get? Power. Remember we’re talking about power. We use the auto power and cross power spectrum transformations converting into the six functions I was talking about before.

Okay. Each function represents a major part of human physiology for heart and brain. Okay? That information is basically Signal average of 16 segments, 5.12 seconds at 100 Hz frequency, which is signal processing jargon. You don’t have to worry about that. Then what does that. Out of the six functions we have empirically learned over the years, we extracted a lot of mathematical elements called indices out of each function. So far we have verified, discovered, verified, validated about 168. We discovered more than that. We discovered more than 200. So out of the more than 200, 168 have been proven beyond any reasonable doubt over the generations.

Okay, so this is the function that we build the matrix, okay. And we have the patent material matching of training data. And actually now it’s more than 250k thousand people from normal people to people with the various heart diseases. Very strategically carefully selected, vetted and make sure there are accurate and half woman, half women, half man and age from 14 youngest to 100 years old. Okay. And then that data is really the basis for to build the algorithms as I talk about it to identify the complex patterns of various diseases from the earliest stage to the latest stage due to any cause.

And we can quantify it, we can digitize and quantify it. So we know exactly what’s negligible, what’s okay, what’s not so okay, what’s reversible, what’s really severe. And we just got to do something quick to save somebody’s life. And all that is now under your fingertips. Okay? So now we use the data container to study new things, to study new patients coming in that would do mathematical computations to find out what it fits. It fits into what category and what group, what type of pathology. So the bottom line is what we have discovered. The mathematical elements give you 10, actually 12 because six functions has each had two domains, two phases.

Okay, six domains and 12 phases. So 10 to the 168 power which is the quinquent quad gentillion parameters. Okay? And actually Google has 10 to the hundredth power. So we are actually 10 to the 68th power greater than Google. That number actually equals all the visible atoms of the universe. Wow, it’s just incredible. The data just seem credible and that’s a gift to mankind. And one of these days we’re going to open source everything over discovery because that belongs to the world, belongs to mankind. We don’t want to leave too early. People can abuse it and destroyed our legacy.

But so that is just. This is the work, okay? This is the network gigantic monstrosity and but it really works. We have proven over and over and over again. So this is the repeat the queen quin quad gentilian numeric complexity. And I’ll talk about the MTOR and AMPK pathway actually really has direct implicate, direct not implication direct link to genetics, survival. And it’s. It’s really. It’s a. It’s a life. It’s a metabolic switch master switch that is influenced by diet, exercise, intermittent fasting, caloric restriction, medical issues, cardiomedical diseases. You name a space travel, anything that affecting this network this pathway is fair game.

Okay, so we have gone through the fda, we have done a homework, okay? The whole thing takes about 10 minutes. And also the severity resource from 0 to 22 empirically driven will have eight different levels. So we can pick people where you are. You can monitor yourself or monitor to a provider to make sure you’re safe and sound. And make sure if you have early science you can reverse with a simple lifestyle change. So after two and a half generation of work, we believe we have created something that’s really useful can help people to monitor to early detect.

And the overall cardio metabolic vascular system physiological function beyond all the legacy cardiology test. And this monumental discovery is unprecedented. So basically I’m talking about legacy cardiology. I think I had enough said about them. I’m going to skip them. And the bottom line is that what they have, it really, really doesn’t work. I mean so people get sort. You know, they hurt. People get hurt because that irresponsible late stage sickness seeking profiteering cabal that. That should be totally thrown throughout the system. Should be thrown out. Should be kicked out. Dr. Shin, now with this technology. Yeah.

And, and you know many studies have been done and you, you know, you into all of that. But yeah, I’m not, I’m not gonna, I’m gonna skip the, the a lot of slides here because with time, time is a constraints. Right. Okay. Yeah. This is Orlando regional study and all these other studies have led us to be 95 act plus accurate. Yeah. Yes. As a diagnostic machine. Exactly. The point is, is you know, with that kind of accuracy you have the ability now to raise the bar and, and to not cause people to have bills. They go in with hospital or whatever it is.

First you, you let them know up front what their health situation is. Right. And second, you don’t have all these, you don’t need to have all these tests that don’t work. Exactly. You can get the medical treatment you need and it, it makes it more efficient. But the patient isn’t blowing their money. You don’t expect the patient to know everything about medicine. Of course. Okay. And, and where the way the economy is, especially with the way medicine is, it’s not cheap. So no. You know, the average person can’t afford to go through all these diagnostic tests.

And, and the problem that they find themselves in is they, they have limited money. Yeah. And now they go into this system and the system becomes a financial burden on them and they are, they become more stressful. They become maybe misdiagnosed and treated improperly with medications that do not cure them and. Exactly. Snowballs into a giant mess that ruins people’s lives. And these are the people that we need to build and make America great. And the problem is these people are sick. They’re sick and laid up. How are they going to go work? And, and how are the people going to do the things that we need to do? Build the factories, fix the roads, you know, rebuild catastrophes.

And this, this is the, you know, not to, to give a pun, but this is the heart of the problem. And it is so, you know, you got to make America healthy. You’ve got to use the right tools and the right technology and the right transparency without lying. And this is the point he’s made, because if you don’t, you’re going to keep spinning your wheels and you’re not going to get anywhere. Yeah. Let me just give you a simple example. The past two days happened. I have, we have a customer who is serving in the Hillsborough county sheriff and the prison system, okay.

And he’s been promoting. He’s a really true evangelist of a technology. He wanted to make sure that our technology gets adopted by the prisons and by the sheriff’s department to help them. I should give you example. A 24 year old kid complaining chest pain. He has some abalone EKG and some blood tests. They say, oh, this guy probably had pericarditis. He didn’t see a cardiologist. He used to be hospital admitted. And the cost of doing that plus hospital admission will probably cost the jail and the sheriffs and also the Navcare, which is the medical management firm for the jail, hundreds of thousands of dollars.

Okay, Hundreds. Thousands of dollars. So. And so Steve, our, our hero there said, look, let’s make sure the diagnosis is correct, right? Let’s do a 10 minute simple test on MCG. Let’s make sure there’s. If there’s a pericarditis, okay, so be it. If there’s no pericarditis or things that you think the patient has, then we’re not only going to save the patient a trip, also saved the system literally tens of thousands, hundreds, thousands of dollars. It turns out all the patient had was cocaine induced heart problems, but without any severe pericarditis, myocarditis, ischemic heart disease, anything that could potentially kill him.

So guess what? He didn’t have to go anywhere. And the system saved hundreds of thousands. Now, the jail and the sheriff do want to adopt our technology and to test everybody. So that’s a simple example, organic example, through really individual efforts to get us into the market. So here’s what happens. And we have gone through various clinical trials and many. Okay, you know what? I gotta answer this. I’ll Be right back. I’ll just make a comment here. Okay. So the problem, what’s going on that he’s talking about with the prison system is that these prisoners who are coming in there, they’ve abused drugs and things like that, they’re in the prison system and there’s nowhere in Florida.

There’s no air conditioning in some of these prisons. So what they do is they claim they have health problems, they get past the prison nurse and little room there and they get a trip to the er. When they get the trip to the er, it’s a four day vacation on our tax dollars because it’s air conditioned. They get good food, they get treated like king and queen and you know, they get to sit in there and then the legacy diagnostic equipment and all the charges get jacked up. And that’s how come it costs a lot of money in the prison system.

In the same aspect though, law enforcement and law enforcement people. Law enforcement is a stressful job. You deal with people that are not, they’re not your average decent person. Okay. They can get wild and you know this and people, you know, the stress of that is a burden on your machine. Okay. It’s a burden on you. And a lot, I mean my brother in law, I have a lot of friends or in, in, in law enforcement, fire department, all that. It’s a stressful job. So my point is, is that it’s a two way street. Not just cutting costs for tax dollars in the prison system, but our people that are, are serving the public.

It helps them to understand what to do to remove some of these stresses. Because when you are healthy, cardiovascular wise, you don’t have as much stress. Yep. Because you’re, you know, you already have stress from the job, but then you have stress from your body and they accumulate and it causes more stress and it leads to poor health. So I’m sorry, I apologize. The cost of that gets reduced, but it, that’s the point. Yeah. You know, sheriff, jails and, and all of that. Yeah. $250 caused the jail to pay for our test report and they save tens of thousands of dollars.

That’s the point. Okay, so we go, we’ve gone through seven countries, three continents, conduct clinical trials based on the best scientific methods, replicate and reproduce the results, make sure it works. And we’ve gone through all that. As a result of that. Guess what? AMA gave us a CPT code which is a category 3, basically describes it. We can help detect severe coronary obstruction diseases with severity assessment. And we also received honor of highmark Medicare and decided to cover our tests to pay $300 each time four times a year for the Medicare recipients. And they however they stipulated, okay, if anybody who’s tested on mcg, they’re not going to pay the stress test Serious echo nuclear CT scans.

And that fateful decision nearly killed our company. You know why? Because the cardiologists would not allow this. Okay. They came out with guns blazing. They wanted to kill us, stop us from going to the market. So the past 10, 12 years we’ve been really. They try to cancel us and destroy our company. They did all those things trying to stop us. And thank God we survived. Thank God we found it out. Find market some find customers who are willing supports like Steve working in the prison and he became evangelist and, and like my, my good friend John Scott here trying to help us.

Right. So, so we’re here. Can you tell them what a CPT code is relative to a medical examination test? Yeah, CBD code basically is the, the way that medical doctors bill the insurance for whatever they perform. Okay. It’s a basically billing code. Okay. The code is that describe your technology and, and etc. It’s really a code used to game the system to make as much money as possible out of the system. Okay. Right. And isn’t this an area that is antiquated and full of. Oh my God. Oh my God. Because no, it’s is you become a number, but you become a series of numbers on a bill.

And and so the, in order for you to even get in a hospital, you better have a CPT code because the doctor can’t bill you for that service if you don’t have the CPT code. And this is a nasty part of the business of medicine because it, it’s, it’s about like lawyers, it’s about billable hours and if they can’t bill you, they’re not gonna get that Mercedes Benz or the yacht or you know, the whole thing. And so really this is where medicine has been perverted. Okay. It’s become a number in a business versa profession and a practice of the art.

And that’s hurting us as Americans. It’s hurting us badly. Very badly. Thank you. Exactly. Get this done. Yeah, we do have some customers in different parts of the country and we really needed being 50 states. Okay. And we’re working on that. But yeah, we have places that offer the test even in Idaho and Oregon. We have Michigan and different places. And so the way to do this is find, get onto our website, call our company and we’ll find a way to get you tested. Okay. And I have also nurses, bunch of evangelists. They carry the machine because machine portable to deliver the tests to where people needed it.

And they go to churches, they go to schools, they go to for instance, Damar Hamlin. Okay. And his family actually are thinking about building a van called the Mark Hamlin mcg Hard Van. Okay. And to. To go to the sports teams to offer tests and to make sure they don’t die suddenly because of a disease that heart disease early sign be missed. So those are the things that, you know, at work we’re constantly pushing forward and developing market for ourselves, develop market for everybody. And we need all help we can get. And the bottom line is that the system is going forward and with all the difficulties, all the challenges we have faced, thank God.

Dr. Shin, you see where you have three the continents. USA, Germany, Japan, India, China, Singapore. Right, right. Okay. So can you, can you make a few comments about Premiere Heart Japan and. Yes, yes. And the fact that Myosi, Sean’s his nephew Sean is a. Is a part owner of Premier Heart Japan and that Myosi. Myosi son knows about the AI technology and is AI leader and has been an influential AI person relative to the Japanese market. What this is in the Japanese market and the fact that he brings a lot of that to Maha and President Trump initiative for Stargate.

Yeah, actually, actually I would have corrected. He is the cousin of Miyoshi is a part of Xiang, not directly through Miyoshi. So yeah, his cousin was a part of the Japan. But the bottom line is that our name is out there now, people beginning to realize what we do. And actually I recently posted an article was actually invited by the Maha people to put it out and hopefully if junior the right people here and give us support, they can actually help us to get national coverage and everybody have access to it publicly and to do a better job to help everybody.

So we are in the process working on that. We never stop, we never give up. But we need all the help we can get from everybody to make sure this technology finally deserves its. Its rifle place in. In. In the history of. Of of. Of. Of medicine. And, and it turns out the Japanese are the hardest to diagnose because their, their cardiovascular system is small. So all these instruments, you know, all the tests that you get as an American, they don’t work for the Japanese people. It’ll work. They’re the only race that the equipment, it has a high error rate on the Japanese race.

So the fact that a lot of this data was done in Japan and it became AI and it’s, it’s more prevalent in Japan, okay? And the companies that are involved because the Panasonic, it’s on a Panasonic brick, they’re OEM partner. The fact of the matter is, is that it’s more difficult for them. But where we are in current news, we’ve seen Project Stargate, we’ve seen people that are aware of the technology. They’ve done it in Japan, they’re aware of it and they, when they’re at the table. Now it’s important because we tested pilots, okay? We’ve tested pilots in Jacksonville, right? Dr.

Sin, we’ve tested pilots, but we, we need to go into the United States military and commercial pilot industry and we need, because all the pilots have pilot doctors as a result of what has happened. They lowered their standards as a result of the COVID vaccines. That’s not true medicine. That’s not transparent. We need to go there and test those people and qualify them for their own safety, okay? But also the VA in the military. So those people deserve the best. And the point is this has been a, has been a more of a political struggle than it has been a medicine and science struggle.

And that has to change, okay? And hopefully, and I hope to God it changes now with the Maha. But that obstacle, it’s not bottom line, but we are here and we thank God we survived the onslaughts and the pandemic, the onslaught of the establishment cardiologists. But we’re still here and people are helping us. We’re finding markets, for instance, now the prisons, the prison healthcare managers like navcare, like Centurion now want to adopt our technology, okay? We’re talking about 6,245 prisons and jails around the country. So that vertical alone is basically open for us. Because you know why? Because cardiologists don’t really care about that because these are the low, these are people considered the lowest untold them pole the sheriffs and the captured, captured robbers and who cares about them.

But these people need a health care. So our test doesn’t matter if you’re a robber or you’re a billionaire give you the same data. So, so we’re into now because the customers that we like, Steve, that organically we’re going to be enter that market. So we need help to go to the military, we need help to go to VAs, we need to help to go to various market and we can literally work with everybody, make it into enterprises that people not only can do well, also do very good, do good Things and do well with this.

And the, the numbers are actually worked really well for everybody. And so we’re here to help, we’re here to support. So. So Mike, we’re on mute where by the way, we were, we were in the va. Mike, you’re on mute. We were in the VA and we have been in the VA and we have been doing testing with the VA and the one point, okay, and this is all before COVID all right. We had, we have product plans and designs to go into 2045 with the technology curve and everything that’s happening with electronics and computing. We have a roadmap and beyond.

The problem is, is that the past administrations, okay, we’re now we’re seeing changes, but the past administrations were made in care. They didn’t care. They’re making poor decisions relative to that to their people that they’re servicing. Okay. And without throwing any. We don’t want to really throw mud and you know, in the face of the people of the va. But this is a great opportunity with all the changes that we’re seeing in D.C. now to bring that technology to them and to collect even more data. But the point is exactly. Those people don’t need to suffer from not having the state of the art technology.

And, and you know, what was happening before COVID was insane and what’s happened now is just, it’s like crazy. It, it’s like, you know, what is this? The psych ward? It’s, it’s, it’s absolutely out of control. So now we pray that with, you know, what is happening in D.C. with RFK, what is happening with his shake up, what we’re seeing, what we’re getting signals of now. People going to be transparent and honest. Okay, yeah, let’s talk about it because we don’t. We’ve seen athletes drop dead and be defib on Monday Night Football. We’re seeing athletes dropping dead all the time.

We’re seeing relatives. I mean every one of us has been affected by this bio war and Covid and we’re seeing it. So in my case to elaborate because you did ask me before Scott, what is awesome we have to do with this? What is all this? So When I met Dr. Shin, I was in Verizon and when I was in Verizon, I could go across silos of all business units and different things. One of the things I was looking at was identity, okay? I was looking at identity and using those elect those algorithms with your password for high end security authentication to validate you were whom you said you were based on your electrophysiology, okay? But I also thought that this Machine contributed to 3.5, could contribute to Verizon’s bottom line, their health division, which is $80 million a year at the time.

Cloud services, I thought it could contribute $3.5 billion year over year, okay? Now, with that, those people made poor decisions that cost them. That healthcare division got shut down. That entire cloud division got shut down. And in my honest opinion, that was a business mistake. People make those. I’ve seen. I’ve seen all kinds of business mistakes and billions and billions of dollars. This is where we have to change our culture. And. And, you know, I mean, I’m praying, I really pray that that RFK and all those people can help. But myself, I never took a vaccine.

So fall 2019, I get long Covid. Nobody knows what the hell is going on. My doctors don’t even know what’s going on. I have a Harvard md. He doesn’t know. So I had the tests as they came forward. I had the tests that were coming out of the clinic for SARS CoV2 antibody, my blood test from Quest Labs and all those things. But because I walked when I left Verizon, okay, I walked over because, Dr. Shin, I have a mutual colleague that I work for when I worked for the company that did black projects and the CIA in the United States military.

And that’s Ray. And so I walked over to them and said, hey, I’m leaving Verizon now. I really like your technology, and I think it is incredible. So I had the. I had the unfair advantage, okay, of going to get. I already had a baseline on my mcg, okay? So I. I went and did my blood test. The same day I went and did my blood test, I did an mcg, okay? And it turned out that I had myocarditis in my heart from the virus. And it turns out, okay, this piece of equipment showed it to me that I had it.

All right? Now I’m gonna tell you that we had cardiologists from University of Columbia, New York, that came crying to us, okay? They came crying to us and begged us for our software. And we said, look, we’d love to give you the software, but it. But without the capability. The point is, okay, I saw it in my heart. So what I did was I not. I not only was struggling with COVID and having cytokine storms and having antibody effects and allergies to my food and asthma and loss of smell and taste and all of that, okay? I had the.

Myocardized in my heart. So I ate resveratrol. Okay? The reason I ate resveratrol was to help me with inflammation in my heart. And the long story short, and this is the real truth, because when you look at this data and you look at the data of the patients, what you find out is that it isn’t just coronavirus, it’s strep throat. It’s exactly. These proteins, okay, that are sitting there are full of glucose. And because they’re sugar coated with glucose, when they come in through your lungs and they go right through the pulmonary tract, the heart, they oxidize the heart.

And mcg sees it, okay? Now this, this glucose is camouflage. It’s just like the camouflage that, that a military person would wear to hide or you have weapon systems painted that way. It’s camouflaged. And what happens is the innate immune system cannot recognize the spike proteins, whether on coronavirus or staph infection or strep throat, can’t recognize them, and it can’t recognize them. As a result, you get infected. Okay? So that is how I got infected with COVID all right? I got infected by spike proteins. I never took any vaccine. But that’s how you get infected with a vaccine.

Yeah. When they inject you with it, it’s same thing. It’s same thing, same thing. It’s six in one hand, half dozen in the other. Exactly. In my point where I was, okay, where I was, I was on a personal journey as somebody who had up in age 36 in 2003. Then I had medications from the GI specialist and bleeding that did not heal me and a bunch of questionable things that events that went on with my line of work and lawsuits, okay, the people who may have poisoned me at the fast food place on purpose, okay, with an intent in the middle of these things.

So I decided that I would go on a journey to try to reduce having colds because I was eating way too many antibiotics and was contributing to all of this and I would change my ways. Well, 36, that did pretty good till 46. Because at 46 I was in the middle of doing crazy things for Verizon in Highlands Ranch and Garden of the Gods and people in India and Verizon data service. India, okay, Cyber war, things classified to the NSA level. I was killing myself working 18 hour days and I, I was wearing down and I was having cardiovascular problems and diabetes came back.

Well, that was the time when I met Dr. Shin and I had my mcg and I found out I scored a 3 as a 46 year old and that’s diabetic. I’ve had some remodeling damage from too many Mountain Dews and too many bad diets and too many of that. But guess what? I can reverse that with my diet. Then come. Exactly. Then comes Cova 2019. So when I had myocarditis and Covid, my score wasn’t a three. It was. It was up around a five to a six. And. And if you are sick and you get an MCG score of a five to six and you’re having certain symptoms, you can tell them, Dr.

Shin. They’ll check you in the hospital, okay? And check you out. Because you could have a number of things, including stenosis or these other diseases. In this case, we’re talking about either a vaccine that was defective or. Or retrovirus or an infection. So I had it. And I scored that level. Now, when I took. Because I am a DNA expert, and I was looking at the spike protein, and I was looking at the envelope protein. And the coronavirus has a digital nanomachine that is coded by rna. It’s a machine defined by the language. I was looking at the protein architecture.

I’m looking at the diagnostic test, right? So when I came up with Allison as the next solution, first I came up as aerosol, which was defective. It was defective because you cannot put an aerosol on the lungs. And every in one millisecond. Okay? You can do that with a vapor. So that’s why I moved to a vapor. But there was a problem with a garlic plant in the dose. So that came from the journal. Molecules related to streptococcus, staphylococcus, MDR strains like mrsa. And the problems there. I hacked that. I hacked the DNA codes of the guard plant.

So I got. I got the reaction 100, the right dose, and then I fixed the physics problem. And then I had. I had the information from journal virology that I presented to. To Dr. Joseph Latipo, the Surgeon General of the state of Florida, and Dr. Kenneth Shepke, his deputy director. I had that. I had it. Okay? And. And it wasn’t just SARS CoV2 on the night of February 1st. It was MERS and SARS, and it was bovine immuno, bovine coronavirus and these other coronaviruses that are in animals that don’t affect humans. And so when I saw that problem and I saw the publications and I saw.

These were gene knockout publications in the journal Virology, gene knockout publications that. That were one for the spike protein and One for the envelope protein, and it involves cysteines and disulfide bridges. When I saw that, I knew that I had a great chance of getting diagnostic information from my own medical records. Quest labs on all my blood work, on my allergy specialist, Dr. Jack Perino, who uses this product himself, relative to my immunity and IgE antibodies and IgE antibody cytokine storm, which I had to create asthma, I had a great chance of matching that data with mcg.

So when I went to get my blood drawn, when I went and did each diagnostic for immunology, I had an mcg, okay? And they showed the presence, and it revealed the myocarditis that those blood tests did not reveal. It revealed it. And because I’m diabetic, it’s more dangerous because what. What happens is when these pathogens either injected in you from a vaccine or they are inhaled through your lungs, that amount of sugar is robbed from your lung tissues and thrown in your blood. And that’s what causes the sp. The spaghetti rubber clots, okay? Because there’s no insulin excreted.

The only way insulin is excreted is if you eat food. It goes in your small intestine, and insulin is excreted from your pancreas to your small intestine and reabsorbed to the blood. So it’s a denial of service is what it is. Okay? It’s a denial of service. And. And when you have a denial of service on a biological system, there are ramifications. And. And the ramifications, the myocarditis ones, are your brain and the inflammatory connection between the vagus nerve and your brain. Brain and your heart no longer communicate. Your heart stops beating and drop dead. Monday night football or you drop dead on the battlefield.

And I’ve had a person that had a heart attack in Iraq. The canine, you know, it’s not a good situation. And the other one that I mentioned was the cascades that are involved with your car vascular system. What happens? That sugar starts circulating around your body with a spike protein, and it inflames your endothelial tissue, which is the lining of the cardiovascular system. MCG sees that and scores it. That’s right before. That’s right before the microclots form. That’s where MCG sees it. That’s where it is. Because if that prolongs itself, now you got rubber band spaghetti clots, and the next thing you know, you got stenosis.

And. And let me tell you way before COVID where mcg was and when he described with those people, Ed Pratt the other people and all the people that he has a list so long it’s. It’s crazy of people who. He saved lives, who went and got the. The surgery and planned for the surgery and did the bypass surgery and had the procedures when their own doctors could not see with a traditional tools, the stenosis and artery clogging, okay? So that now with the fact that we’ve had these vaccines and the viruses and all that stuff, now there’s even higher risk, okay? The embalmers are showing you pictures of spaghetti clots.

And. And, you know, we have diagnostics, okay? We have diagnostics from. Kevin McCarron has done work recently, and we have also work from the health ranger, Mike Adams. And those people, they’ve done a lot of work on it, and they’ve done work saying, hey, this is what the spaghetti clots are. But we already knew that, because raging diabetics have the same problem. And so. So look at what you’ve done here in the United States with these vaccines. You didn’t test or safety check them. Now you inject diabetics, but you got diabetics over here getting sick from COVID And.

And those people are the ones that get hit so hard, okay? It’s like, you know, it’s like Tyson or Nino punching you in the first round of a big championship fight. You’re a diabetic. You get hit by Covid or you get hit by. By the vaccine. You know, average person is getting up for that. Imagine a diabetic. You’ve already got problems. You’re not getting up. So anyway, the. My point was I measured it, okay? I measured it with the mcg, and then my medical records were subpoenaed by Ashley Moody. They were subpoenaed by Ashley Moody because my Harvard primary md, he told me that eosinophiles on the CBC blood test was background noise.

And I called his bluff. And, yeah, you know, Dr. Perino helped me with that. Dr. Shin helped me with that, and the truth prevailed. But the Allison V Thing that I invented, which I filed the patent for on March 23, 2020, okay, I was using my own technology, and when I tracked it with mcg, I saw the myocarditis leave. I saw it leave. And that’s how I knew that I was being successful. And my. My big sincerest point to you, because I know you’re involved with life wave and a number of other things, those technologies. MCG is a way of showing your people, hey, usage of.

Of life wave or usage of. Of your therapy or Your diet or all these things. This is a measuring stick. Look, you know, you should. You. You may have been walking a mile before. Maybe you can run one now. And it is true. And so the same thing goes for the guy who wants to be in Seal Team 6. And he doesn’t have the endurance because he doesn’t have that supplement in a diet that gives him that extra oomph to make it past the physical training to get there. Okay? And that’s. We can’t help. We can really help because the key is early detect, prevent reversal.

And you build up. Guess what? You pass over the threshold. And also the best part of that, you’re not going to be bombarded with all these stuff that. The problems that the Scott brought up, because they’re all prevented, all preventable. You don’t have to have several blood clots. Okay. You don’t have to do that because you’ve detected early. You do the right things. There are tools now we can do. And the MCG will keep you safe. We detect, we monitor, we measure, keep everybody safe. The goal is to prevent reverse early signs of diseases, whether acute or chronic diseases.

That’s a new philosophy in medicine. Instead of waiting for everybody sick like dog and just make money off of you. And actually there’s a new no cure. That’s not medicine. Okay? The medicine. And that’s a pyramid scheme. Exactly. Medicine is early detection, prevention. Yes. And that’s the bottom line. The last one is really, you know, athletes. So athletes push themselves. The best athletes, they push themselves to the limit. Sometimes a collapse on the field just from exhaustion, but collapsing on the field from a vaccine or a virus, they don’t know. I mean, I’ve heard one of the cases is a marathon runner.

I knew before I. The reason I wanted to have MCG was because I knew that a marathon runner, he. He could not finish his marathons anymore and he had a virus in his heart. And. And MCG found it. So I knew. I knew that I better test with mcg. I knew that I better have that there during this. And this was. I was one of the first ones and also knew about all those people that were tested with rheumatoid rheumatic fever. Okay? Fever and facts, the heart. And Dr. Shin was one of the first persons ever to have the rheumatic fever signatures for viral impact on your heart.

So once I started looking at the physics of this technology, an incredible amount. And. And so I’m a DNA person that’s done a lot of DNA and biochemistry, but I’M a chemist, so I’ve done physics and quantum mechanics and all that. So when I saw what he created and what he did with the data, I wanted to pair them up. And I wanted to pair them up. But even now, where we are going with, with Stargate, with Maha and AI, it is going to be so important for us to collect children’s DNA at birth to understand what their susceptibility is from a genetic code, code disposition.

Okay. Where we can die, where we can see the child, we can see that they’re born a certain way and we can and not prostitute their identity, take that identity and use it to, to make a health plan so that we know when they’re going to have these problems and then use a diagnostic tool like an mcg. Okay? And I’ll tell you, I have a cousin who has a daughter. She was seven years old, this girl had a straight. I gotta jump in here. I gotta show. Coming up, so. Okay, I’ll finish right now. She had seven years old, she had strep throat.

Okay. Same situation, POTS and Amps is 18 year old and her life was almost ruined. So the point is the whole thing is a void. The whole thing is a void. These conditions preventable. Preventable and live. And live cleaner and live better. So I mean detection, prevention, disease reversal, that’s the bottom line. It’s a new. Thank you. I have that data. Rather than, you know, thanks so much. We have to do it again. We got so much to cover. I’m. I’m sorry about that. Thanks a lot. You have a wonderful day. We appreciate everything, Mike, and we appreciate, appreciate all you do and, and you know, we’re here and you know how to reach us.

All right, thank you. Thank you. Thanks, guys. Thank you. Okay, bye. Bye.
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