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AI in drug discovery – what it is, where we stand and the path forward

science.org

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Re: AI in drug discovery – what it is, where we stand and the path forward

#101

Post by lanstin »

colingauvin wrote: post #96
zer00eyz wrote: post #93

Earlier quoted context omitted.

> For example, it helps... debug things... and write scripts to ask questions. Im guessing this isnt code that needs to "scale", that needs to "be elegant", that you arent focused on maintainability for the next decade. That its built for purpose and left behind. Its all the code that for a programer would normally be in this matrix https://xkcd.com/1205/ (is it worth your time) -

Yeah, for someone like me in a lot of ways it's a dream come true. I have domain expertise in my field, I have a ton of computer knowledge due to building HPC clusters and working in Linux every day for years, I have lots of problems computers can solve, but no formal programming expertise. Before, muddling through Python or fixing segfaults in academic software would have been days to weeks. Now it's minutes. I thin…

I don’t think the results would be as good if you just prompted “make this faster” as compared to “make this multithreaded”. You had high confidence in the cause of the slow down which a non-technical person might not have.

Re: AI in drug discovery – what it is, where we stand and the path forward

#102

Post by lukeschlather »

iririririr wrote: post #38
colingauvin wrote: post #31

I'm a structural biologist at a mid-sized biotech. I use AI tools daily. They make accomplishing the same things I was able to accomplish before quite a lot faster and easier. They don't help me magically accomplish new things that I couldn't previously. For example, it helps me install academic software, debug things. It helps me take a large dataset and write scripts to ask questions. It helps me go through experim…

do you feel this is the same trade off of UI builders like android studio (or msvb6). you do in minutes what you previously did in 2, 3 hours. is it all the work? no, but it's a part that's early on and have high perceived impact. then, as you progress, that tool actually gets in the way and a new feature that would take 2 hours, now is around 2 days.

The old expense of installing new tools means that seeing how tools actually work in practice is simply impossible. You pretty much install a tool and you accept that it is the tool.

You have to know how to ask the right questions, but I think there's constant opportunities in anything computer-driven to say "this thing is taking 3 hours and I'd like to do it more often, can I do it in 3 minutes?" And that's always been true to an extent but AI makes it way more accessible.

Re: AI in drug discovery – what it is, where we stand and the path forward

#103

Post by marstall »

arionhardison wrote: post #97
marstall wrote: post #90

Earlier quoted context omitted.

cool. i like what you've done here with a virtual panel that can answer questions ... i have similar ideas for kabuki syndrome (currently: https://www.thekabukipapers.org ). talk? marstall at gmail.

> i like what you've done here with a virtual panel that can answer questions Thats the main thing. I think that Ai-native governance by domain experts is how AI reaches its full potential. Not in theory but in terms of the value it delivers to populations via outcomes. AI-native Governance is like irrigation for the outcomes populations want to achieve, starts with intents; executed on by programs that use protocols…

how do you define the specialists? a prompt? what do you mean by using protocols as guardrails? Also, can you give me a TLDR on how these voice interfaces work? What kinds of problems are you solving, and how, in an ELI5 way. I might be a lot dumber than you give me credit for!

Re: AI in drug discovery – what it is, where we stand and the path forward

#104

Post by Vacyyyy »

xX_Hacker_Xx wrote: post #24
pton_xd wrote: post #16

Earlier quoted context omitted.

Apparently some users report persistent side effects even years after stopping the medication (post-finasteride syndrome).

yep that would be me

Are you familiar with Dr. Powers, there's hope
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