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sanqueue@lemmy.world to Technology@lemmy.worldEnglish · 2 years ago

Using AI, researchers identify a new class of antibiotic candidates that can kill a drug-resistant bacterium

phys.org

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Using AI, researchers identify a new class of antibiotic candidates that can kill a drug-resistant bacterium

phys.org

sanqueue@lemmy.world to Technology@lemmy.worldEnglish · 2 years ago
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Using a type of artificial intelligence known as deep learning, MIT researchers have discovered a class of compounds that can kill a drug-resistant bacterium that causes more than 10,000 deaths in the United States every year.
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  • Tremble@sh.itjust.works
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    2 years ago

    Great; so this is all public domain knowledge since it was created with AI according to current law, right?

    • Daxtron2@startrek.website
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      Personally I think all medicine should be public domain

    • guitarsarereal@sh.itjust.works
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      deleted by creator

      • just_another_person@lemmy.world
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        I’m just downvoting you for being a smarmy prick. Not because your comment is inaccurate.

        • guitarsarereal@sh.itjust.works
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          deleted by creator

        • barsoap@lemm.ee
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          2 years ago

          I hope you’re at least consistent and downvoted yourself, then.

        • dwalin@lemmy.world
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          2 years ago

          Same :/

    • roofuskit@lemmy.world
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      2 years ago

      I think those rulings have only applied to creative works. We’ll see.

    • GBU_28@lemm.ee
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      2 years ago

      Depends, what was the training set / knowledge base?

    • guitarsarereal@sh.itjust.works
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      deleted by creator

  • Vector@lemmy.world
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    2 years ago

    A key innovation of the new study is that the researchers were also able to figure out what kinds of information the deep-learning model was using to make its antibiotic potency predictions. This knowledge could help researchers to design additional drugs that might work even better than the ones identified by the model.

    That is awesome. I wonder if the techniques that they have used to expose the machine learning “black box” process can be applied to other models - from my understanding of it, that would be pretty big news in and of itself.

    • R0cket_M00se@lemmy.world
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      2 years ago

      Hope so, that’s the big leap forward with machine learning IMO.

      • Legendsofanus@lemmy.world
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        2 years ago

        So what, we are learning what caused AI to come to a conclusion?

  • Fades@lemmy.world
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    2 years ago

    With the defeat of the super bugs, I for one welcome the super super bugs.

    • prole@sh.itjust.works
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      2 years ago

      Exterminate all rational thought. That’s the conclusion I’ve come to.

  • Maggoty@lemmy.world
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    2 years ago

    Great. Now lock it away and require CDC approval for each dose. We may just get out of this alive.

    Just kidding, nobody gets out of life alive.

    • Chakravanti@sh.itjust.works
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      2 years ago

      Decade tops.

  • MaximilianKohler@lemmy.world
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    I guess all the people solely cheering for this aren’t aware of the damage we’ve been doing to ourselves with antibiotics:

    While antibiotic resistance gets all the attention, the damage being done to our host-native microbiomes is arguably as big a threat as climate change, as the damage compounds over generations, and once it’s gone you can’t get it back. (Apr 2019).

    Resistance may already be a solved problem: https://humanmicrobiome.info/antibiotics/#fmt-to-counter-antibiotic-resistance

    • SpaghettiYeti@lemmy.world
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      Interesting. Who is the seemingly random person posting on a forum about human biomes? Do you have a peer reviewed paper on it?

      • MaximilianKohler@lemmy.world
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        2 years ago

        It says who they are in their signature. And a plethora of peer-reviewed papers are cited.

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