Australian tech guy with zero background in biology uses ChatGPT to cure his rescue dog's terminal cancer: 'It worked!'

Advertisement
  • 01
    Paul Conyngham and his dog Rosie at his home in Sydney
  • 02
    vittorio @IterIntell... this is actually insane Subscribe > be tech guy in australia > adopt cancer riddled rescue dog, months to live > not_going_to_give_you_up.mp4 > pay $3,000 to sequence her tumor DNA
  • 03
    > feed it to ChatGPT and AlphaFold > zero background in biology > identify mutated proteins, match them to dog targets > design a custom mRNA cancer vaccine from scratch > genomics professor is "gobsmacked" that some puppy lover did this on his own
  • 04
    > need ethics approval to administer it > red tape takes longer than designing the vaccine > 3 months, finally approved > drive 10 hours to get rosie her first injection > tumor halves > coat gets glossy again > dog is alive and happy > professor: "if we can do this for a dog, why aren't we rolling this out to humans?"
  • 05
    Paul Conyngham and his dog Rosie
  • 06
    one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline. we are going to cure so many diseases. I dont think people realize how good things are going to get
  • 07
    Paul Conyngham and his dog Rosie
  • 08
    Trung Phan ư @TrungTPhan we need more GPUs Trung Phan to cure cancer, right? actually yeah amazing
  • 09
    Entelijan @EntelijanHQ The craziest part isn't the Al. ... It's that a single motivated person can now orchestrate: • genomics • protein folding ⚫d g targeting ⚫ vaccine design Things that previously required labs, grants, and entire research teams. The barrier to scientific discovery just collapsed.
  • 10
    Paul Conyngham's 3D modelled images of his dog Rosie’s cancer
  • 11
    Roger Marques ❤ @rogeriomarquest Crazy what is possible with FOCUS COMMITMENT SHEER WILL
  • 12
    Nick @initnam Awesome post and great outcome for the dog. ... But we can't disregard why big pharma takes so long to push new dr _s & treatments to the market: clinical trials & research take a long long time. It's in the best interest of everyone's safety to know the range of effects and outcomes of these treatments. So the pharmaceutical industry will inevitably take longer then an n=1 self experiment
  • 13
    Input Protein Sequence 1 from google.colab import files 2 import os 3 import re 4 import hashlib 5 import random 6 7 from sys import version_info 8 python_version 9 10 def add_hash(x,y): 11 12 f"(version_info.major). (version_info.minor}" return x++hashlib.shal(y.encode()).hexdigest()[:5] 13 query sequence = "MRGARGANDFLCVLLLLLLLGVQTGSSQPSVSPGEPSLPSIHPAKSELIVSVGDELRLSCTDPGFVKWTFETLGQLNENTHNEWITEKAEAGHTGNYTCTNRDGLSRSIYVFVRDPAKLFLVDLPLYGKEGNDTLVRCPL TOPEVTNYSLRGCEG 14 jobname = 'test' 15 num_relax
  • 14
    50 Shades of Wendy's @SmolFang69 Hitmen working for Big Pharma rn be like: ...
  • 15
    Pyrrhos @NGDPAB Vibe coding RNA ... what a time to be alive
  • 16
    Addie @addiective_ "I don't think people realize how good things are going to get" - yeah, for the rich. You don't actually believe Big Pharma $$$$ will just give people access to cheap life-saving treatments, right? Someone's going to patent this or put access to medical Al behind a paywall
  • 17
    George Hanu De... @g... Wild that the hardest part was not making the thing, it was surviving the paperwork long enough to use it How many breakthroughs are currently stuck in admin limbo?
  • 18
    LUNA @Luna_Meher This story is inspiring, but we should also be careful not to oversimplify what's happening here. Designing something on paper or with Al tools is very different from proving safety and effectiveness in controlled human trials. The pharmaceutical pipeline exists largely because countless treatments that looked promising early on ended up failing-or causing harm-once tested properly.
  • 19
    Tools like ChatGPT and AlphaFold are incredibly powerful and will absolutely accelerate discovery. But replacing the entire biomedical research process isn't that simple. D ig development involves toxicology studies, dosage optimization, manufacturing standards, regulatory approval, and large-scale clinical trials to make sure treatments are actually safe for millions of people.
  • 20
    If anything, the real takeaway isn't that one person “outperformed pharma,” but that Al tools are lowering barriers so curious and motivated individuals can contribute ideas that once required massive labs. That's exciting. But turning those ideas into safe, widely available medicine still requires rigorous science, collaboration, and time.

Tags

Scroll Down For The Next Article