[gremlinsinc]

it took them like 30 years to completely dissect a single amino acid which would hold huge medical breakthroughs. AI found it's own way to do the same but to every amino acid saving decades of tedious work. in two years we've gone from barely knowing the full innards of amino acids and how they work etc, and now we know all of them.

Earlier this year, an AI research lab basically cured a rare cancer in a week time.

Imagine having 200 MDs and biologists in a virtual world working 24/7 with real world Drs and biologists. Nobody will know who is who they just work together on aspects then use the virtual lab to analyze potential results before trying in a real lab.

The regular researchers of course won't be able to go 24/7 but while they sleep the AI researchers could solve 2 years worth of problems.

We are way more advanced than we know because we have knew, never before realized potential to quadruple research in scientific endeavors.

[jppittma]

That's crazy. We had to learn the structure of all the amino acids in my biochem class a decade ago. I'm glad science has finally caught up. Maybe the advances could have happened faster if the scientists studied the structures of the amino acids that undergrads were drawing from memory.

[Exoristos]

That AI hype is a powerful drug.

[thefurdrake]

That contrarianism is a powerful drug.

[jquery]

At least AI is legitimately solving real world problems. I'll take that over crypto-hype any day.

[AtlasBarfed]

I really like this approach even though it's antithetical to the way medical technology is structured right now. Basically medical device companies and drug companies just want to manufacture something and hold a patent for 20 years and whatever they can get for extended.

The described approach is a lot more like programming where you have a whole bunch of skilled professionals working together to solve specific bespoke problems because cancer is actually thousands of diseases depending on the gene expression and underlying genetics.

So I really like this approach. I hope it gets formalized and scaled to some degree outside of the auspices of the drug companies who just want to patent squat

I also don't know if the FDA is equipped for it because it sounds like cuz we're going to get specifically tailored drugs or other vectors individualized but how do you test that in a way that the FDA typically does?