Getbig.com: American Bodybuilding, Fitness and Figure
Getbig Main Boards => Gossip & Opinions => Topic started by: Humble Narcissist on March 23, 2026, 09:38:11 AM
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The world is a better place:
https://www.dailymail.co.uk/news/article-15671345/OnlyFans-Leo-Radvinsky-dead-cancer-43-billionaire-founder.html
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Hmmm “sky”. Holds up to the “stereotype” of trying to ruin the fabric of our society while enriching their own.
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Hmmm “sky”. Holds up to the “stereotype” of trying to ruin the fabric of our society while enriching their own.
:D I didn't even notice but not surprised at all.
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Very smart guy. He noticed that "There's a sucker born every minute" also applies to the internet age. And he figured out how to seperate those losers from their money.
Sad how in 2026 there is so little doctors can do against cancer. Hopefully AI and quantum computing will accelerate some kind of effective cure or prevention.
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Who gives a fuck ?
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Very smart guy. He noticed that "There's a sucker born every minute" also applies to the internet age. And he figured out how to seperate those losers from their money.
Sad how in 2026 there is so little doctors can do against cancer. Hopefully AI and quantum computing will accelerate some kind of effective cure or prevention.
That would suck to have that much money and still not enough to save you.
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Who gives a fuck ?
X2
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His lack of values eventually did catch-up with him.
Probably not valuing his health and focusing on what ends up being a worthless life.
He will have a nice headstone though.
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Who gives a fuck ?
If only Kwon-tard could come into this thread and alleviate our misery with some random YT video.
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If only Kwon-tard could come into this thread and alleviate our misery with some random YT video.
that would surely be a bonus !!
::)
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Most assumedly Jewish.
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Most assumedly Jewish.
There was a mini scandal about him giving $11 million to AIPAC a while back.
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There was a mini scandal about him giving $11 million to AIPAC a while back.
I’m shocked! I think Palm Beach County government is the largest holder of Israeli bonds in the world. They decided to invest heavily during the start of the war (not risky at all). One would think they would at least get a crazy high interest rate. Nope! Around 4.5% which is comparable to current high yield savings accounts in the U.S. but with 100,000 times the risk. Nothing to see here!
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Most assumedly Jewish.
You are most definitely a fucking bloody twat. Grow the fuck up
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He was not the founder of only fans. Tim Stokely is.
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He was not the founder of only fans. Tim Stokely is.
Ahhh I'll sleep better knowing that. ::)
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Very smart guy. He noticed that "There's a sucker born every minute" also applies to the internet age. And he figured out how to seperate those losers from their money.
Sad how in 2026 there is so little doctors can do against cancer. Hopefully AI and quantum computing will accelerate some kind of effective cure or prevention.
The cure for cancer will never be released. Too much money to be made from treatments.
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There was a mini scandal about him giving $11 million to AIPAC a while back.
Hah! Typical!
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Very smart guy. He noticed that "There's a sucker born every minute" also applies to the internet age. And he figured out how to seperate those losers from their money.
Sad how in 2026 there is so little doctors can do against cancer. Hopefully AI and quantum computing will accelerate some kind of effective cure or prevention.
https://theconversation.com/a-man-used-ai-to-help-make-a-cancer-vaccine-for-his-dog-an-oncologist-urges-caution-278735
A man used AI to help make a cancer vaccine for his dog – an oncologist urges caution
An Australian tech entrepreneur has helped create what appears to be a made-to-measure cancer vaccine for his dog, Rosie, using artificial intelligence tools such as ChatGPT as part of the process.
The science behind this sounds intimidating – DNA sequencing, mRNA vaccines, “neoantigens” – but at its core, it is about reading the instructions inside a tumour and then writing a new set of instructions to help the immune system see it.
Rosie is an eight-year-old rescue Staffordshire bull terrier cross that developed aggressive mast cell cancer, a common skin cancer in dogs. She had surgery and chemotherapy, but the disease kept coming back and she ended up with large, ugly tumours on her leg.
Vets told her owner, Paul Conyngham, that she probably had only months to live. Instead of accepting that, he decided to use the tools he knew from his day job in tech – data analysis, AI and coding – and apply them to his dog’s cancer.
Decoding the tumour
The first step was to understand what made Rosie’s tumour different from her healthy cells.
Every cell in the body carries DNA – a long, chemical molecule that acts like a biological instruction manual. You can think of DNA as a very long string of letters written in a four-letter alphabet. Cancer happens when enough of those letters change, by chance or through damage, so that some cells start to grow and divide out of control.
Sequencing a tumour’s or normal cell’s DNA is essentially reading through that long string of letters and comparing it to the “normal” version to see where it has gone wrong. A lot of my own research has focused on this. Conyngham paid a university lab to sequence the DNA from Rosie’s tumour. That produced a huge file listing the mutations – the spelling mistakes in the cancer’s instruction manual – that set her tumour apart from her healthy tissues.
On their own, those files are just data. The question is what to do with them. This is where he turned to an AI chatbot. He asked it how scientists design personalised cancer vaccines and how he might go from a list of mutations to specific targets for a vaccine for Rosie.
A cancer vaccine in this context is different from the childhood vaccines we are used to. Traditional vaccines prevent infections: you give someone a harmless version or fragment of a virus or bacterium so their immune system can “learn” to recognise it in advance. A cancer vaccine, by contrast, is usually therapeutic rather than preventive. It is given to someone who already has cancer, with the aim of training their immune system to spot markers on the cancer cells that it has previously ignored and then attack them.
This is where mRNA comes in. If DNA is the master instruction book, mRNA (messenger RNA) is more like a photocopied page that gets sent to the cell’s protein-making machinery – think of it as a short piece of code that carries a single command: “make this protein”.
Some of the COVID vaccines use mRNA: they deliver a strand of mRNA that tells our cells to make the spike protein from the coronavirus, so the immune system can practise on it. The body then breaks down the mRNA; it does not change your DNA.
For a personalised cancer vaccine, scientists choose small parts of proteins that are unique to a particular tumour – so-called neoantigens – and encode them in an mRNA sequence.
When this mRNA is injected, cells take it up and briefly make those tumour-linked protein fragments. The immune system can then see these fragments and, ideally, begins to treat any cell displaying them as abnormal and dangerous. In effect, it is using mRNA to give the immune system a “most wanted” poster for that individual cancer.
With help from AI tools, Conyngham sifted through Rosie’s tumour mutations to pick out candidates that might make good neoantigens. He also used protein structure prediction software to model how some of these mutated proteins would look, trying to guess which ones would be visible to her immune system.
Crucially, he did not manufacture a vaccine in his garage. Once he had a shortlist of targets, he approached researchers at the University of New South Wales, including experts in RNA technology, who reviewed the data and designed an mRNA construct based on it. Their team turned this digital design into a physical mRNA vaccine in the lab.
It was a one-off product, made just for Rosie, encoding several of the mutations in her tumour. She then received this experimental vaccine at a veterinary research centre, with booster doses over the following months.
Reports from her vets and owner suggest that several tumours shrank markedly, her overall tumour burden fell, and her energy and behaviour improved. One resistant tumour has prompted a second round of analysis and a follow-on vaccine targeting a different set of mutations.
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https://theconversation.com/a-man-used-ai-to-help-make-a-cancer-vaccine-for-his-dog-an-oncologist-urges-caution-278735
A man used AI to help make a cancer vaccine for his dog – an oncologist urges caution
An Australian tech entrepreneur has helped create what appears to be a made-to-measure cancer vaccine for his dog, Rosie, using artificial intelligence tools such as ChatGPT as part of the process.
The science behind this sounds intimidating – DNA sequencing, mRNA vaccines, “neoantigens” – but at its core, it is about reading the instructions inside a tumour and then writing a new set of instructions to help the immune system see it.
Rosie is an eight-year-old rescue Staffordshire bull terrier cross that developed aggressive mast cell cancer, a common skin cancer in dogs. She had surgery and chemotherapy, but the disease kept coming back and she ended up with large, ugly tumours on her leg.
Vets told her owner, Paul Conyngham, that she probably had only months to live. Instead of accepting that, he decided to use the tools he knew from his day job in tech – data analysis, AI and coding – and apply them to his dog’s cancer.
Decoding the tumour
The first step was to understand what made Rosie’s tumour different from her healthy cells.
Every cell in the body carries DNA – a long, chemical molecule that acts like a biological instruction manual. You can think of DNA as a very long string of letters written in a four-letter alphabet. Cancer happens when enough of those letters change, by chance or through damage, so that some cells start to grow and divide out of control.
Sequencing a tumour’s or normal cell’s DNA is essentially reading through that long string of letters and comparing it to the “normal” version to see where it has gone wrong. A lot of my own research has focused on this. Conyngham paid a university lab to sequence the DNA from Rosie’s tumour. That produced a huge file listing the mutations – the spelling mistakes in the cancer’s instruction manual – that set her tumour apart from her healthy tissues.
On their own, those files are just data. The question is what to do with them. This is where he turned to an AI chatbot. He asked it how scientists design personalised cancer vaccines and how he might go from a list of mutations to specific targets for a vaccine for Rosie.
A cancer vaccine in this context is different from the childhood vaccines we are used to. Traditional vaccines prevent infections: you give someone a harmless version or fragment of a virus or bacterium so their immune system can “learn” to recognise it in advance. A cancer vaccine, by contrast, is usually therapeutic rather than preventive. It is given to someone who already has cancer, with the aim of training their immune system to spot markers on the cancer cells that it has previously ignored and then attack them.
This is where mRNA comes in. If DNA is the master instruction book, mRNA (messenger RNA) is more like a photocopied page that gets sent to the cell’s protein-making machinery – think of it as a short piece of code that carries a single command: “make this protein”.
Some of the COVID vaccines use mRNA: they deliver a strand of mRNA that tells our cells to make the spike protein from the coronavirus, so the immune system can practise on it. The body then breaks down the mRNA; it does not change your DNA.
For a personalised cancer vaccine, scientists choose small parts of proteins that are unique to a particular tumour – so-called neoantigens – and encode them in an mRNA sequence.
When this mRNA is injected, cells take it up and briefly make those tumour-linked protein fragments. The immune system can then see these fragments and, ideally, begins to treat any cell displaying them as abnormal and dangerous. In effect, it is using mRNA to give the immune system a “most wanted” poster for that individual cancer.
With help from AI tools, Conyngham sifted through Rosie’s tumour mutations to pick out candidates that might make good neoantigens. He also used protein structure prediction software to model how some of these mutated proteins would look, trying to guess which ones would be visible to her immune system.
Crucially, he did not manufacture a vaccine in his garage. Once he had a shortlist of targets, he approached researchers at the University of New South Wales, including experts in RNA technology, who reviewed the data and designed an mRNA construct based on it. Their team turned this digital design into a physical mRNA vaccine in the lab.
It was a one-off product, made just for Rosie, encoding several of the mutations in her tumour. She then received this experimental vaccine at a veterinary research centre, with booster doses over the following months.
Reports from her vets and owner suggest that several tumours shrank markedly, her overall tumour burden fell, and her energy and behaviour improved. One resistant tumour has prompted a second round of analysis and a follow-on vaccine targeting a different set of mutations.
That's seriously impressive what the guy did! I've noticed how most doctors just continue to treat cancer patient how they have learned decades ago. Still the same old patient unfriendly and old methods. No drive or motivation to really change things. Just doing what they have always done.
No hurry, like the government bureaucrats and insurers also are doing everything really slowly.
But patients are in a hurry! They often only have a few months or at best years to live.
Very cool to see how one individual made such progress using AI software!
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The cure for cancer will never be released. Too much money to be made from treatments.
^^^^^^^THIS
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That's seriously impressive what the guy did! I've noticed how most doctors just continue to treat cancer patient how they have learned decades ago. Still the same old patient unfriendly and old methods. No drive or motivation to really change things. Just doing what they have always done.
No hurry, like the government bureaucrats and insurers also are doing everything really slowly.
But patients are in a hurry! They often only have a few months or at best years to live.
Very cool to see how one individual made such progress using AI software!
This is why many leave the U.S. for treatment. It takes forever for drugs to be approved.
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Is it true that Elon Musk plans on buying it, to shut it down afterwards?
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Is it true that Elon Musk plans on buying it, to shut it down afterwards?
jeez, he will be labelled the worlds biggest misoginist if he does that
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Where the OF owner lived:
https://www.dailymail.co.uk/media/article-15674287/leonid-radvinsky-onlyfans-owner-death-miami.html
(https://i.dailymail.co.uk/1s/2026/03/24/14/107378489-15674287-The_43_year_old_billionaire_s_final_months_were_lived_out_at_a_1-a-1_1774363073367.jpg)
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Where the OF owner lived:
https://www.dailymail.co.uk/media/article-15674287/leonid-radvinsky-onlyfans-owner-death-miami.html
(https://i.dailymail.co.uk/1s/2026/03/24/14/107378489-15674287-The_43_year_old_billionaire_s_final_months_were_lived_out_at_a_1-a-1_1774363073367.jpg)
I think Grant Cardone lives along the same strip.