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John Coogan
Co-founder & Co-host, TBPN

AI Researcher Uses GPT to Save His Dog From Cancer

📅 Mar 16, 2026 TBPN 17 MIN 654 VIEWS 21 SEGMENTS · 2 SPEAKERS
On today’s show, John and Jordi break down the viral story of an Australian entrepreneur using ChatGPT, genomic sequencing, and a custom mRNA pipeline to help shrink his dog Rosie’s cancerous tumor, unpack the fierce debate over what actually happened as critics push back on the hype while others argue AI is already lowering the barrier for motivated individuals to navigate complex biomedical research, and debate whether the real breakthrough is not AI magically curing cancer on command but the gradual democratization of science itself as tools once locked inside labs become accessible to high...
John Coogan 0:00 ↗
Late Friday, there was a story about an Australian tech entrepreneur named Paul Coiningham reducing the size of his dog Rosie's cancerous tumor by designing a custom mRNA vaccine with the help of ChatGPT, and it produced a substantial amount of discourse over the weekend, separating facts from the hype cycle around the story. Coiningham is an AGI pill tech guy with 17 years of experience in machine learning and data analysis, at one time being a director at a non-profit called the Data Science and AI Association of Australia. Talk about an incredible association. We don't have enough data science and AI associations globally. It's true. It's great to hear that Australia...
His dog, Rosie, had been diagnosed with a deadly mast cell cancer in 2024. Coiningham used ChatGPT to brainstorm ways he could help, and he did an interview on this. And here's a quote from him. He said, "I went to ChatGPT and came up with a plan on how to do this. The first step was to reach out to the university to get Rosie's DNA sequenced." Is there not a 23andMe for dogs yet or something? Who's doing full genome sequencing these days? I guess dog DNA is probably a separate assay, separate process.
Jordi Hays 1:08 ↗
Embark. Embark.
John Coogan 1:09 ↗
You could do it. Okay, well, anyway, he went to a university, probably for a good reason, probably got good data. He said, "The idea is you take the healthy DNA out of her blood and then you take the DNA out of her tumor and you sequence both of them to see exactly where the mutations have occurred. It's like having the original engine of your car and then a version of the engine at 300,000 km down the road. You can compare them and see where there's damage." So, once the University of New South Wales produced the DNA sequencing, Mr. Coiningham ran it through a whole bunch of different data pipelines. So, this is something that we're going to go into throughout this story, is the question of how much was this "cure my dog cancer" one shot at don't make mistakes. I don't think anyone's saying that, but very quickly there was an incentive to amplify this into the hype, like this crazy story, and then there was also an incentive to de-hype this all the way. And the truth, of course, is in the middle. So, that's where we're going to get today.
So, once the DNA sequence was produced, he ran it through a whole bunch of custom different data pipelines to find those mutations, and then used other algorithms to find drugs to treat the cancer. With the help of the University of New South Wales, Coiningham identified a pharmaceutical company that produces an immunotherapy drug that looked like a good candidate for Rosie. So, the drug already existed or was available, but the company refused to supply it to him because I don't think it was approved for this particular indication in this particular species. So, he was out of luck there. So, he then turned to, again, the University of New South Wales, their RNA Institute, which used Coiningham's data crunched down to a half-page formula to create a bespoke mRNA vaccine for Rosie. Again, from the story, Coiningham ran an algorithm to inform the design of the mRNA and sent it to us, and we made a little nanoparticle, and it's democratizing the whole process, they said. This was Paul Thordarson, the director of the RNA Institute at the University of New South Wales. So, after several months of navigating red tape, Coiningham and his team administered the vaccine to Rosie, which was effective. One of her tumors shrank by half, though she is not completely cured. And that's just kind of the nature of cancer. Like cells are dividing all the time. Everyone has some sort of low-level baseline of cancer. Most dogs have like a little bit. The question is, is it runaway? Is it bad? Is it terrible? And then it's hard to just snap your fingers and cure it completely, but if you get the amount of cancer down really, really far, then you will of course survive. So, the important thing is that Coiningham says the quality of life of the dog, Rosie, is much better now. So, on X, the story turned into a heated debate on health regulation. Yes.
Jordi Hays 3:59 ↗
What is that? Air horn for Rosie. That's for the dog.
John Coogan 4:01 ↗
Air horn for the dog. That's great. Turned into a heated debate on health regulation after biomedical engineer Patrick Heiser posted that quote, "It is trivially easy, trivially, trivially easy to make a single-arm mRNA vaccine. It's not hard." And Hank Green, prominent YouTuber, issued something of a rebuttal, which we can go through later. A separate thread in the discourse is focused on the promise of LLMs democratizing access to medical science, with OpenAI president Greg Brockman quote-tweeting the story with the caption, "A small window into the opportunity of AGI." Well, Coiningham didn't literally cure Rosie's cancer with ChatGPT, as Stripe CEO Patrick Collison pointed out. It acted as a high-powered search tool that ultimately helped his team get to an amazing outcome. Sort of George Hotz.
Jordi Hays 4:50 ↗
The goalposts.
John Coogan 4:52 ↗
I think we got to... I'm ready to move them. We're moving the goalposts. I mean, where are we moving them to? It has to actually... You have to be able to type "cure my cancer" and then from your phone it just deposits a pill that you just take.
Jordi Hays 5:04 ↗
Yeah, exactly.
John Coogan 5:05 ↗
What is it? It has to, it has to locally... Yeah. End to end.

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APA

Coogan, J. (2026, March 16). AI Researcher Uses GPT to Save His Dog From Cancer [Interview transcript]. TBPN. CEOInterviews.AI. https://ceointerviews.ai/interview/3004962/

MLA

John Coogan. "AI Researcher Uses GPT to Save His Dog From Cancer." TBPN, 16 Mar. 2026. Transcript, CEOInterviews.AI, https://ceointerviews.ai/interview/3004962/.

BibTeX
@misc{coogan2026_3004962,
  author       = {John Coogan},
  title        = {AI Researcher Uses GPT to Save His Dog From Cancer},
  howpublished = {Interview transcript, TBPN. CEOInterviews.AI},
  year         = {2026},
  month        = {mar},
  url          = {https://ceointerviews.ai/interview/3004962/},
  note         = {Speaker-attributed transcript with timestamps}
}