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.

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

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.

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