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Scott Auerbach, Craig Corsi, Samuel Ogunfuye, Hatice Mutlu


Given the rise in bacterial pathogens that are resistant to current antibiotics due to misuse, this has the potential to escalate into a health catastrophe. The main idea is to use optimized large language models intended for small-molecule drugs as well as those for parsing DNA and other genetic information to construct a model based on structural correlations that can predict whether or not known pathogens are resistant to a given antibiotic.

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