'AI & mRNA in Healthcare: What You Need to Know'
— Independent Medical Alliance (@Honest_Medicine) February 6, 2025
On this week’s webinar, host Dr. Ryan Cole (@drcole12) and special guest, infectious disease specialist Dr. Lynn Fynn (@Fynnderella1), discussed the merging of AI with mRNA vaccine development, the public health risks and need for… pic.twitter.com/8iAP0Nz8Ju
Speakers: Dr. Ryan Cole, Dr. Lynn Fynn
“We’re in an interesting era… I’m sure in 20 years we’ll look back and think, ‘what were we thinking?'” – Dr. Ryan Cole
For many of us who champion medical freedom, President Trump’s (45) Project Warp Speed and its resulting mRNA vaccine rollouts left us grappling with serious questions. The sight of Larry Ellison discussing AI-driven mRNA technology on President Trump’s (47) first week back in office only deepened those concerns.
We now find ourselves at a crossroads, facing both the potential and perils of merging artificial intelligence with mRNA vaccine development. In this week’s webinar, Dr. Ryan Cole and Dr. Lynn Fynn dive into the cautionary tale of these technologies, exploring both their promise and the profound risks they pose to public health.
Introducing Dr. Lynn Fynn
Dr. Lynn Fynn, a retired infectious disease specialist, now dedicates herself to clinical research and therapeutic innovation. With patents for groundbreaking supplement formulations and mechanisms targeting the sympathetic nervous system, Dr. Fynn offers a unique perspective on the evolving intersection of technology and healthcare.
Her work with high-performance athletes and global research initiatives has granted her a critical understanding of how medical advancements are applied and misapplied. In the discussion, she highlighted both the promise and peril of AI and mRNA technologies in modern medicine.
- Supplement Company: Pique Performance USA
- X.com: @fynnderella1
Artificial Intelligence in Healthcare: Boon, Bust, or Both?
Artificial intelligence (AI) does hold promise in healthcare—but that promise comes with some serious caveats. Proponents highlight its ability to enhance diagnostics, optimize clinical trials, and streamline drug discovery. However, as Dr. Fynn noted, AI is not a magic solution:
“I was perusing the literature on AI. Most of it is from the past three years, especially 2023. I think there were over 10,500 papers on AI. And of that, I found 86 randomized controlled trials (RCTs) with any kind of robust nature to them,”
Yet even within those RCTs, health outcomes did not significantly improve.
This raises an essential question: If billions are being invested with little measurable return, are we being too quick to embrace AI tools in healthcare without sufficient scrutiny?
Dr. Cole added to this caution, emphasizing how reliance on AI can hinder critical thinking. “When we start leaning on artificial intelligence and all this information, we stop looking for it. We stop doing our deep dives and critical thinking.” As our followers will know, censorship of alternative perspectives can skew AI’s knowledge base—a particularly dangerous scenario in fields like medicine.
He goes on to emphasize the pitfalls of over-reliance on AI in medicine further:
“When AI searches for randomized control trials, it won’t find studies from censored researchers. It’s a rigged system where only approved narratives make it into the AI’s training data.”
However, AI does have niches where it could potentially shine. Dr. Fynn pointed to radiology as one such example:
“When you’re dealing with imaging, AI can be very effective at identifying tumors or anomalies that the human eye might miss. But when AI replaces discernment rather than aiding it, that’s when problems arise,”
The Pitfalls of mRNA Cancer Therapies
Few people realize that mRNA technology was initially developed for cancer treatment. However, the concept of gene therapy has long made many uneasy—a sentiment that seemed to vanish in the face of the global fear campaign surrounding COVID-19. Now, as mRNA technology is being touted as a ‘potential breakthrough’ in cancer immunotherapy, experts like Dr. Cole and Dr. Fynn have voiced serious concerns about its practical application.
Current proposals suggest that AI could help tailor mRNA cancer treatments by analyzing tumor-specific proteins. The concept sounds futuristic, but the science is far from settled. Dr. Cole asked:
“The idea is that you inject an mRNA sequence coding for a tumor’s protein, triggering your immune system to attack it. But your body already recognizes the tumor’s presence. Why do we need to trick healthy cells into producing that same protein?”
The inherent risks of this approach are profound. What if the synthetic RNA doesn’t stop producing those proteins? Could we inadvertently create multiple tumors by disrupting normal cellular processes?
Dr. Fynn highlighted another danger:
“With mRNA vaccines, we told human cells to stop producing human proteins and instead manufacture a foreign toxin. Never in medical history had this been considered prudent.”
As with the COVID-19 vaccine rollout, our experts warn against rushing mRNA-based cancer therapeutics without rigorous long-term studies.
Lipid Nanoparticles: Accumulation and Toxicity
Central to the mRNA platform is its delivery system: lipid nanoparticles (LNPs). These microscopic fat bubbles enable mRNA to enter cells and issue instructions. Dr. Cole rightly has a few questions:
“They cannot control the dose, the target, or how long these particles remain active in the body. It’s like buckshot—scattering throughout your organs with no off switch,”
Research indicates that lipid nanoparticles accumulate in vital organs such as the spleen, liver, brain, and ovaries. This has led to questions about long-term toxicity and the risk of chronic inflammation. Despite these concerns, regulatory agencies have largely overlooked these dangers, particularly under the guise of “pandemic preparedness.”
Dr. Fynn expressed frustration with the lack of transparency:
“Manufacturers aren’t using the same protocols for mass production that they submit during clinical trials. This bait-and-switch tactic undermines both scientific integrity and public trust.”
Suppression of Alternative Therapies and Research Bias
Another critical issue explored in the webinar was the suppression of alternative therapeutics during the COVID-19 pandemic. Early in the crisis, treatments like hydroxychloroquine and ivermectin were not only dismissed, but actively censored.
“We found multiple ways to treat single-stranded RNA viruses, yet these therapies were suppressed to pave the way for mass vaccination,” Dr. Fynn lamented. This suppression of alternatives points to a broader problem: the monopolization of scientific discourse and research funding by pharmaceutical giants.
Moreover, AI tools trained on biased data are likely to reinforce these patterns. Dr. Cole noted:
“When AI is searching the literature for randomized controlled trials, will it access studies that were censored or suppressed? No, it won’t. It’ll only reflect the dominant narrative.”
Transparency and Bias in AI Training
A recurring theme throughout the webinar was the need for transparency in AI training. Large language models (LLMs), which power many AI systems, are only as reliable as the data they’re fed. If dissenting scientific views are excluded, the resulting AI outputs will inevitably be skewed.
Dr. Fynn emphasized the importance of open access to scientific research. “If we don’t allow diverse perspectives into the data set, we’re creating an echo chamber,” she said. This is particularly dangerous in medicine, where life-or-death decisions rely on accurate information.
Our experts called for a return to genuine scientific inquiry—one that prioritizes robust debate over consensus-driven dogma. “Science is never settled,” Dr. Cole reminded the audience. “When we stop questioning, we stop progressing.”
Other Emerging Threats: Bird Flu and Food Supply Manipulation
Though the primary focus of the webinar was on AI and mRNA, Dr. Fynn also touched on emerging concerns around avian influenza (H5N1) and its potential impact on the food supply. She criticized the mass culling of livestock in response to isolated cases of bird flu, arguing that this interventionist approach could destabilize food security.
“There’s no evidence of human-to-human transmission of bird flu in the U.S., yet they’re killing off entire flocks. Herd immunity within these animal populations would be a far more sustainable solution,” she said. As Dr. Fynn laid out in a previous video addressing bird flu, such heavy-handed tactics could pave the way for new genetic interventions in livestock, raising ethical and safety concerns about the future of our food system.
Learn more:
- Webinar: The Attack on Our Food Supply
- Webinar: Is it Bird Flu? Ask the Doctors
A Call for Vigilance and Advocacy
The webinar concluded with a call to action. Both Dr. Cole and Dr. Fynn urged that we remain vocal in our communities and advocate for greater transparency in both AI and mRNA research.
“Silence is compliance,” Dr. Fynn stated. “Our government won’t support meaningful change unless they see mass opposition to these dangerous trends. We must push back now before it’s too late.”
Dr. Cole echoed this sentiment, emphasizing the importance of grassroots activism:
“Invite others to join this movement for honest medicine. Together, we can challenge the tech giants and pharmaceutical monopolies that have co-opted public health.”
The future of healthcare hangs in the balance. It is up to us to ensure that both AI and mRNA technologies are wielded responsibly—with integrity, transparency, and an unwavering commitment to the sanctity of human life.
For more insights from experts like Dr. Cole and Dr. Fynn, join the Independent Medical Alliance’s future webinars and stay informed about developments in science, medicine, and technology:
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