Man with no medical degree creates cancer vaccine using ChatGPT for his sick pet. Open AI CEO Sam Altman reacts: ‘This should be easy ….’
An Australian businessman, Paul Conyngham, used AI tools like ChatGPT and AlphaFold to develop a personalized mRNA cancer treatment for his dog, Rosie. This remarkable endeavor, which involved collaboration with scientists and veterinarians, has ...

The individual, identified as Australian businessperson Paul Conyngham, was confronted with a devastating diagnosis when his rescue dog, Rosie, was found to have advanced-stage cancer with little hope for recovery. Determined not to accept the grim outlook, he explored unconventional options and turned to artificial intelligence for assistance. Reports suggest he utilised AlphaFold, a system developed by Google DeepMind, to analyse and predict the structure of the protein believed to be responsible for the disease. He then employed ChatGPT and other advanced language-based AI systems to gather information, interpret tumour-related data, and assist in outlining a personalised mRNA vaccine approach.
With support from trained scientists and veterinary professionals, Conyngham is said to have arranged for the vaccine to be produced and administered to his dog under proper supervision. Altman later expressed admiration for the effort on social media, highlighting how the experience sparked thoughts about the broader potential of such innovations, while also noting that making this process widely accessible remains a challenge.
The account quickly gained widespread attention online, sparking conversations about how emerging AI technologies are enabling individuals without formal expertise to engage with complex scientific processes. Altman pointed to this example as an indication of how artificial intelligence could transform personalised healthcare by making advanced research tools more approachable. "Paul is an extraordinary guy. This should be easy to do, but it is not yet..." he wrote.
Despite the enthusiasm, several experts have advised restraint. They emphasise that there is limited publicly available evidence linking the treatment directly to the dog’s recovery or long-term health. Specialists caution that experimental medical interventions, even when supported by AI, must undergo thorough testing, validation, and professional oversight to ensure safety and effectiveness.
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