In 2024, Sydney tech entrepreneur Paul Conyngham faced a nightmare many pet owners dread: his dog Rosie was diagnosed with cancer. Chemotherapy and surgery came first. The tumors came back anyway. Rosie got weaker, and the usual medical playbook seemed to be running out of pages.

Instead of giving up, Conyngham opened his laptop and did something unconventional—he turned to artificial intelligence, including ChatGPT, to help chart a path toward a bespoke cancer vaccine designed specifically for Rosie.

A dog at a veterinary clinic with medical staff, symbolizing advanced cancer treatment and research
A new frontier: AI tools are starting to support highly customized cancer treatments, including experimental therapies for pets. (Image: Getty Images via Fortune)

Rosie's story, recently highlighted by Fortune, sits at the intersection of veterinary oncology, immunotherapy, and rapidly evolving AI tools. It’s inspiring—but it also raises serious questions about safety, ethics, and what’s realistically possible today for both pets and humans.


When Standard Cancer Treatments Aren’t Enough

Cancer in dogs isn’t rare. Depending on the breed and age, estimates suggest that up to 1 in 4 dogs will develop some form of cancer in their lifetime. Traditional treatments—surgery, chemotherapy, and sometimes radiation—can:

  • Prolong life and reduce pain in many cases
  • Come with side effects like fatigue, nausea, and immune suppression
  • Sometimes fail entirely when tumors don’t respond or quickly return

That’s where Rosie found herself: persistent tumors, failing conventional care, and a family looking for options that didn’t yet exist off the shelf.

“I went to ChatGPT and came up with a plan on how to do this.” — Paul Conyngham, speaking to Fortune about designing a bespoke cancer vaccine for Rosie

How AI Helped Create a Bespoke Cancer Vaccine for a Dog

According to Fortune’s coverage, Conyngham didn’t accept “there’s nothing more we can do.” Instead, he used AI tools—ChatGPT among them—to explore whether a personalized cancer vaccine, similar to experimental human “neoantigen vaccines,” could be adapted for Rosie.

  1. Understanding the science: AI language models helped him rapidly review scientific literature on:
    • Neoantigen-based vaccines (vaccines built around mutations unique to a patient’s tumor)
    • Canine immune responses to cancer
    • Existing research on personalized oncology in both humans and dogs
  2. Shaping a step-by-step plan: He reportedly used ChatGPT to help outline a high-level plan, including:
    • How to obtain and sequence Rosie’s tumor tissue
    • How to identify possible target mutations (neoantigens)
    • How a lab might manufacture peptide-based vaccine components
  3. Coordinating experts and labs: AI couldn’t draw blood or culture cells, but it helped him:
    • Clarify terminology when speaking with oncologists and scientists
    • Draft emails and documentation
    • Compare different technical options suggested by specialists

In other words, AI acted as an intelligent research assistant and planning partner—not as a replacement for expert medical teams or specialized biotech labs.


The Science Behind Bespoke Cancer Vaccines

Personalized (or “bespoke”) cancer vaccines are at the cutting edge of oncology. While still experimental, early human trials—especially in melanoma and some solid tumors—are showing promising immune responses.

Scientist analyzing data on computer screens related to cancer research and genomics
Personalized cancer vaccines rely on sequencing tumors, finding unique mutations, and training the immune system to recognize them.

How Personalized Cancer Vaccines Generally Work

  1. Tumor sampling and sequencing
    A sample of the tumor is taken and its DNA and/or RNA is sequenced to find mutations not present in normal cells.
  2. Neoantigen prediction with AI and bioinformatics
    Specialized algorithms predict which of those tumor-specific mutations will likely be seen by the immune system as “foreign.”
  3. Vaccine design and manufacturing
    Short pieces of proteins (peptides) or mRNA coding for those neoantigens are synthesized to create a tailored vaccine.
  4. Immune activation
    The vaccine is given in multiple doses, often with an adjuvant, to help T cells recognize and attack cancer cells carrying those mutations.

In humans, companies like BioNTech and Moderna are running clinical trials combining personalized mRNA cancer vaccines with checkpoint inhibitors in several tumor types. Peer-reviewed studies suggest these vaccines can induce robust T-cell responses, though it’s still early to know who benefits most and for how long.


Rosie’s Vaccine: Hopeful Outlier or Glimpse of the Future?

Details about Rosie’s exact outcome and long-term follow-up are still limited in public reporting, and her case remains anecdotal. That said, it offers a rare real-world example of:

  • A pet owner actively participating in cutting-edge, personalized cancer care
  • AI tools helping non-specialists navigate frontier science
  • Veterinary medicine acting as an early proving ground for approaches that might one day help humans

In veterinary oncology more broadly, some academic centers have already been exploring immunotherapies and even custom vaccines for specific cancers, often in clinical trial settings. Dogs can be valuable models because:

  • They share human environments (and many risk factors)
  • Their cancers can behave biologically similar to human tumors
  • They often develop spontaneous, not lab-induced, disease
“Well-designed canine studies can accelerate progress in human oncology, as long as we keep animal welfare, informed consent, and rigorous science front and center.”
— Hypothetical summary of views expressed by comparative oncology researchers

Obstacles, Risks, and What AI Can’t Fix Yet

While the idea of “an AI-designed cancer cure” is understandably compelling, reality is more complicated. Several major barriers remain.

1. Scientific and Clinical Uncertainty

  • Many personalized vaccines are still in early-phase trials.
  • Not all tumors present strong or stable targets for immune attack.
  • Cancer can evolve, losing or mutating the very markers the vaccine targets.

2. Regulatory and Ethical Challenges

  • In humans, bespoke vaccines typically require clinical trial enrollment or special regulatory pathways.
  • For pets, regulations can be less rigid, but that also means fewer guarantees about quality and oversight.
  • Owners must make decisions on behalf of animals who can’t consent, increasing ethical responsibility.

3. Costs and Access

  • Sequencing, bioinformatics, and custom manufacturing are expensive and time-consuming.
  • Insurance rarely covers experimental or bespoke treatments for pets.
  • Even wealthy or well-connected individuals may struggle to find labs willing to take on one-off projects.

4. Limits of AI Tools Themselves

Language models like ChatGPT don’t “know” if a specific treatment will work; they generate plausible-sounding plans based on patterns in data. Without expert validation, this can be dangerous.


If Your Pet Has Cancer: Using AI Safely and Productively

If you’re reading about Rosie and wondering whether AI could help your own dog or cat, there are constructive, safe ways to use these tools—without stepping outside medical oversight.

Dog with a veterinary oncologist in a modern clinic, illustrating collaborative cancer care
The most powerful use of AI in cancer care today is as a companion to—not a replacement for—veterinary specialists.

1. Clarify the Diagnosis and Options

  • Ask your vet for the exact cancer type, stage, and pathology report, if available.
  • Use AI tools to translate that information into lay language you understand.
  • Prepare a list of questions for your oncology appointment (AI can help you draft them).

2. Explore Evidence-Based Therapies

  • Request information about standard-of-care options first.
  • Ask your vet whether clinical trials are available for your pet’s cancer type.
  • Use AI to help you navigate reputable databases or institutional trial listings.

3. Use AI as a Research Assistant, Not a Decision-Maker

  1. Summarize recent studies (then verify citations and discuss with your vet).
  2. Compare pros and cons of different approaches your oncologist has already suggested.
  3. Organize notes, lab results, and follow-up questions.

From Pets to People: What Rosie's Story Signals for Human Medicine

Rosie's AI-assisted vaccine is part of a broader shift toward highly individualized cancer care for humans as well. While we’re far from personalized vaccines being routine in clinics, several trends are clear:

  • AI-driven diagnostics: Algorithms increasingly help read scans, pathology slides, and genomic data.
  • Tailored treatments: Tumor sequencing is guiding targeted drugs and immunotherapies.
  • Patient empowerment: Tools like ChatGPT give patients and families more knowledge—if used carefully.
Oncologist reviewing medical imaging on a computer screen in a hospital
AI is already helping clinicians interpret complex imaging and genomic data, but treatment decisions remain firmly in human hands.

Over time, lessons from both veterinary and human trials will likely converge—informing how quickly and safely bespoke vaccines can move from exceptional edge cases like Rosie's toward more standardized, regulated care.


Key Takeaways: A Brave Experiment, Not a Blueprint

  • Rosie’s bespoke cancer vaccine, co-planned with help from AI, is a powerful proof-of-concept—not a universal cure.
  • Personalized cancer vaccines are scientifically plausible and already in early human and veterinary trials, but they remain experimental.
  • AI excels as a research assistant and communication tool; it should never replace oncologists, veterinarians, or clinical evidence.
  • Pet owners can use AI to better understand diagnoses, prepare questions, and explore reputable resources while staying firmly within medical guidance.

If your pet—or a person you love—is facing cancer, it’s completely natural to look everywhere for hope. Stories like Rosie’s show that innovation can come from unexpected places, including determined families and smart tools used well. The safest path forward is one where:

  • AI augments expert judgment
  • Experimental therapies are pursued within ethical and regulatory safeguards
  • Individual stories inspire rigorous science, rather than replace it

Your next step: if you’re considering anything beyond standard care—for a pet or for yourself—bring the ideas you’ve gathered (from AI or online research) to a qualified oncology team and ask, “What here is realistic, safe, and evidence-based for our situation?”