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.
Hope so, that’s the big leap forward with machine learning IMO.
So what, we are learning what caused AI to come to a conclusion?
With the defeat of the super bugs, I for one welcome the super super bugs.
I guess all the people solely cheering for this aren’t aware of the damage we’ve been doing to ourselves with antibiotics:
Resistance may already be a solved problem: https://humanmicrobiome.info/antibiotics/#fmt-to-counter-antibiotic-resistance
Interesting. Who is the seemingly random person posting on a forum about human biomes? Do you have a peer reviewed paper on it?
It says who they are in their signature. And a plethora of peer-reviewed papers are cited.
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.
