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A Gemma model helped discover a new potential cancer therapy pathway

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Re: A Gemma model helped discover a new potential cancer therapy pathway

#32
From what I understand, the model was used to broaden a search that was already conducted by humans. It's not like the model has devised new knowledge. Kind of a low hanging fruit. But question is: how many of these can be reaped ? Hopefully a lot!

("low hanging fruit", well, not the right way to put it, Google's model are not exactly dumb technology)

Re: A Gemma model helped discover a new potential cancer therapy pathway

#33
post #16

Earlier quoted context omitted.

We’ve just had a virus - specifically engineered to be highly infectious for humans - escaping the lab (which was running very lax safety level - BSL2 instead of required BSL4) and killing millions and shutting down half the globe. So I’m wondering what safeguards and prevention you’re talking about :)

Don't spread misinformation. This myth is widely believed only by Americans. https://en.wikipedia.org/wiki/COVID-19_misinformation#Virus_...

He says and quotes Wikipedia.

Re: A Gemma model helped discover a new potential cancer therapy pathway

#34

For all the hate that Google (rightly) gets for some of their work in other domains, I appreciate that they continue to put major resources behind using AI to try and save lives in medicine and autonomous driving. Easy to take for granted, but their peer companies are not doing this type of long term investment.

Someone has to do it. Big pharma has a lot of money and if AI can reduce their costs in human resources, they will be willing to put some of their profits aside to further the research in AI space.

Money wells are drying up across the trch Industry and ai companies will have to look for funds from adjacent industries like biotech and medicine.

Re: A Gemma model helped discover a new potential cancer therapy pathway

#35
post #8

This is so awesome. Hoping those in the biology field can comment on the significance.

Cellular level computational simulation existed a very long time and it's more impressive by the day because of large collections of experimental datasets available.

However to infer or predict celular acitivities you need a ton of domain knowledge and experties about particular cell types, biological processes and specific environments. Typically the successful ones are human curated and validated (e.g large interaction networks based on literature).

In cancer it's even more unpredictable because of the lack of good (experimental) models, in-vivo or in-vitro, representing what actually happens the clinically and biologically underneath. Given the single cell resolution, its uncertainty will also amplify because of how heterogeneous inter- and intra- tumours are.

Having said that, a foundation model is definitely the future for futher development. But with all of these things, the bigger the model, the harder the validation process.

Re: A Gemma model helped discover a new potential cancer therapy pathway

#36
post #2

I am concerned about this kind of technology being used to circumvent traditional safeguards and international agreements that prevent the development of biological weapons.

Seems like no matter how positive the headline about the technology is, there is invariably someone in the comments pointing out a worst case hypothetical. Is there a name for this phenomenon?

Performative cynicism?

Re: A Gemma model helped discover a new potential cancer therapy pathway

#37

For all the hate that Google (rightly) gets for some of their work in other domains, I appreciate that they continue to put major resources behind using AI to try and save lives in medicine and autonomous driving. Easy to take for granted, but their peer companies are not doing this type of long term investment.

I think it's important that people know this. Despite what the other AI companies claim or put out as occasional PR, they have absolutely no real interest (through internal work or funding external researchers) in using AI to benefit science and humanity as a whole. They just want their digital god. As such, there is simply not enough funding for AI research with scientific applications. Consequently, many people in machine learning are not working in scientific applications, even though they really want to.

Re: A Gemma model helped discover a new potential cancer therapy pathway

#38
post #32

From what I understand, the model was used to broaden a search that was already conducted by humans. It's not like the model has devised new knowledge. Kind of a low hanging fruit. But question is: how many of these can be reaped ? Hopefully a lot! ("low hanging fruit", well, not the right way to put it, Google's model are not exactly dumb technology)

> What made this prediction so exciting was that it was a novel idea. Although CK2 has been implicated in many cellular functions, including as a modulator of the immune system, inhibiting CK2 via silmitasertib has not been reported in the literature to explicitly enhance MHC-I expression or antigen presentation. This highlights that the model was generating a new, testable hypothesis, and not just repeating known facts.

Re: A Gemma model helped discover a new potential cancer therapy pathway

#39
post #4
post #3

Earlier quoted context omitted.

Well you might be pleased to know that there are large safety teams working at all frontier model companies worried about the same thing! You could even apply if you have related skills.

Are these safety teams subject to the oversight of more estabilished international agreements and safeguards?

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