A man who took the internet by storm used AI to create a cancer vaccine that cured his dog.

 

Paul and his dog

A man who took the internet by storm used AI to create a cancer vaccine that cured his dog.

In a world where technological development is accelerating at an unprecedented pace, artificial intelligence is no longer just a tool for data analysis, but has become a true partner in sensitive medical fields.

Among thousands of tech stories, Australian entrepreneur Paul Cunningham has been making headlines on social media and in the media for the past two days after he used his machine learning expertise to save his dog "Rosie" from mast cell cancer, a common cancer in dogs.

Refusing to accept the diagnosis of cancer that afflicted his dog, he used artificial intelligence to design a therapeutic vaccine specifically for her, in an experiment that went viral.
The story began with the use of GPT chat to save Rosie from cancer, while Grok played a pivotal role in the final design of the vaccine.

Cunningham explained that the final formulation of the mRNA vaccine – which achieved a medical miracle by reducing the size of advanced tumors by 75% – was specifically designed by Grok.

While this complex process was carried out through a precise scientific path, it began with a comprehensive genetic analysis costing $3,000 to compare healthy DNA with the tumor, and then the use of the "AlphaFold" tool to identify the mutated proteins.
To explain this in a simplified scientific way, Dr. Mohamed Mohsen Ramadan, head of the Artificial Intelligence and Cybersecurity Unit at the Arab Center for Research and Studies, explained, "It is a story that seems like science fiction, but it is a reality that reflects the profound shift towards precision medicine."

"Data problem"

He added in statements to Al-Arabiya.net/Al-Hadath.net that "despite the dog undergoing surgery and chemotherapy, the tumors continued to grow, and doctors predicted she would only live a few months." He continued, "This is where the Australian man decided to turn the medical problem into a data problem. He obtained the complete DNA sequence of the tumor through a specialized center and compared it to healthy DNA to discover the mutations causing the disease."

In addition, Ramadan pointed out that “artificial intelligence intervened through two main tools, the first being ChatGPT, which was used to develop a research plan, analyze treatment options, and organize scientific data, and the second being the AlphaFold system developed by Google DeepMind, which predicted the three-dimensional structure of proteins, thus helping to understand the impact of genetic mutations.”

Based on this analysis, a vaccine was designed that is based on "messenger RNA", the same technique used in modern epidemic vaccines, which sends instructions to the body to produce proteins that drive the immune system to specifically attack cancer cells.
The Egyptian doctor continued, saying: "Rosie has been receiving the doses since last December, and the result has been a noticeable reduction in the size of the tumors and a significant improvement in her health."

The future of medicine

In addition, Ramadan emphasized that this story represents the future of AI-supported medicine through three stages: converting biology into digital data, then analyzing it to discover mutations, and then designing a personalized treatment tailored to each patient instead of standardized treatments for everyone.

For his part, Dr. Mohammed Askar, an information systems and artificial intelligence consultant, believes that the picture is more complex, as it is a combination of advanced genetic analysis, artificial intelligence tools, and scientific cooperation with university researchers.

As he explained in exclusive statements to Al-Arabiya.net/Al-Hadath.net, what we see here is an early example of the future of personalized medicine, where genetic data analysis and artificial intelligence can help in designing treatments tailored to each patient, but this future still depends primarily on scientists, clinical trials, and strict scientific oversight to ensure safety and effectiveness.

He added that what happened here cannot be described as “designing a vaccine by a single artificial intelligence model,” but rather it is a clear example of the integration of several layers of technologies. The beginning was with the genetic sequencing of the tumor, which is a basic step in precision medicine. This genetic data produces huge amounts of information, and here the role of artificial intelligence appears in analyzing mutations and identifying mutated proteins associated with cancer. At this stage, advanced tools in computational biology are used, such as protein structure prediction systems and mutation analysis.

He added that "large linguistic models such as ChatGPT or Grok often play a role in helping to formulate theoretical design or organize scientific knowledge rather than performing the precise biological calculations themselves. In other words, these models act more as a cognitive research assistant than as a direct scientific engine for molecular design."

The most important step

He stressed that "the most technically important thing is the next step: manufacturing the vaccine using lipid nanoparticle technology, the same technology used in some modern mRNA vaccines. This stage requires specialized laboratories and great scientific expertise, and cannot be carried out through artificial intelligence alone."

He considered that this story reveals 3 important trends in the future of medical technology: first, the acceleration of personalized medicine, where customized treatments can be designed based on the individual genome of the patient; second, the transformation of artificial intelligence into a scientific research tool that helps individuals and researchers access analyses that previously required entire scientific teams; and third, scientific knowledge, as it has become possible for relatively non-specialists to use advanced tools to explore medical solutions.

However, he concluded by emphasizing a crucial point: success in an individual case does not equate to a proven or generalizable cure. Developing vaccines or cancer treatments typically requires years of rigorous clinical trials to ensure safety and efficacy. He argued that "a balanced technical reading of this story does not suggest that artificial intelligence has invented a cure for cancer, but rather that it has become a powerful partner in accelerating medical research, which could transform the future of medicine and drug development over the next decade."