This research effectively shifts oncology from broad-spectrum treatments to precise molecular engineering by using AI to exploit the quantitative margins of gene expression. It turns the unique biological signatures of cancer into actionable targets for highly personalized therapy.
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AI, Cancer & Programmable BiologyAñadido:
I can generate a brand new sequence that will carry out either the the effect and the function I want or it will get something to the right place like an mRNA or CRISPR technology or vaccine or an immunotherapy essentially helping to guide things to the appropriate place.
>> Paul Cunningham, I'm not sure how much he actually spent, but according to the research I, you know, he spent like 3,000 to get the sequencing done for his dog's DNA and and then he partnered for some of the other work that I'm sure would, you know, commercially cost a lot of money.
>> We had like a biopsy of his dog's uh tumor for example and we did single cell RNA sequencing which is different from DNA sequencing where you just get like, "Okay, here's my genome." It's more like, "Here's 22,000 genes. Here are the sliders." Like when you adjust a light, how much is each of them producing? Cuz this gene and this gene might be the same in the cancer cell versus the healthy cell. We're not talking about the mutated gene that's like a neoantigen that people are focused on right now for cancer. We're talking about their healthy, fine genes.
You're just producing a lot of this one in this cancer cell.
>> Uh okay.
>> So I've got 600 times more for example of this uh healthy protein being produced in the cancer than anywhere else in your body and guess what? It's on the surface of the cell. Okay. Yeah.
>> So it's a zip >> So it's like a lock lock, a bunch of locks that just need the right key readily available.
>> And there are only 3,000 locks or so and uh dogs have slightly different sequences, but they also have about 3,000 locks. So you can design very tailor-made peptides to target those unique locks.
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