FoundMyFitness · 2026-07-22 · Rhonda Patrick (host), Derya Unutmaz

Why the Next 10 Years May Add 50 to Your Lifespan | Dr. Derya Unutmaz

42 research-tied claims examined: 2 contradicted 3 overstated 4 context 29 supported 2 corroborated online 2 unverified

2

Corroborated by web sources

1:07:38Derya Unutmazcorroborated (web)

An Australian computer scientist used AI models including ChatGPT to design an individualized mRNA vaccine that caused tumor regression in his dog diagnosed with melanoma.

"You probably heard of this story from Australia. This computer scientist um had ChatGPT and and some other AI models to develop an mRNA vaccine for his dog. His dog had I think a melanoma, and he um he got it sequenced. He took the sequence and gave it gave it to to an AI model, and the AI model designed the precise mRNA molecule that needs that the dog needs dog's immune system needs to be trained, got it synthesized, and I think it was able to apply it in 3 months. Um probably could have been shorter if there wasn't regulations, and and the tumor started to to regress, and the dog is was was alive when it was supposed to to die." (said at 1:07:38)

No published record matching the case of an Australian computer scientist using ChatGPT or other AI models to design a personalized mRNA vaccine that induced tumor regression in a dog with melanoma was located; this does not prove the claim false.

corroborated by web sources

Australian tech entrepreneur Paul Conyngham utilized AI tools, including ChatGPT and AlphaFold, alongside researchers at the University of New South Wales to design a personalized mRNA vaccine for his rescue dog, Rosie. After receiving the experimental vaccine, the dog's tumors shrank significantly and her condition improved, though she was diagnosed with mast cell skin cancer rather than melanoma.

the-scientist.comjapantimes.co.jpindependent.co.ukunsw.edu.au

1:53:55Rhonda Patrick (host)corroborated (web)

A computational model identified mutations in the Yamanaka factors that increased the efficiency of induced pluripotency by 50-fold.

"What do you think of the new data that came out using this this model called GPT-4b micro, GPT micro 4B, um, where I guess there's this model that was used to figure out how to make certain mutations in the four different Yamanaka factors to make them more effective? So they were able to basically 50-fold more, um, be more effective or efficient at increasing this induced pluripotency." (said at 1:53:55)

No published record matching the claim that a computational model identified mutations in the Yamanaka factors to increase reprogramming efficiency by 50-fold was located; this does not prove the claim false.

corroborated by web sources

In August 2025, OpenAI and Retro Biosciences reported that using an AI model adapted for protein engineering, GPT-4b micro, they designed novel variants of Yamanaka factors (such as SOX2 and KLF4). In laboratory testing, these redesigned proteins produced a greater than 50-fold increase in the expression of stem cell reprogramming markers compared to standard wild-type factors.

endpoints.newspristines.comopenai.com

Unverified means no publication matching the claim was located; it does not prove the claim false. Spotted an error? See the corrections policy - disputes from the people quoted are prioritized.