Predicting Drug-to-Drug and Drug-to-Food Interactions

It’s incredibly important to understand how drugs interact with each other to keep patients out of dangerous and deadly situations. South Korea’s KAIST University recently shared that it’s developed a deep learning system to precisely predict interactions between certain drugs. With an accuracy rate of 92.4, this tech can predict 192,284 drug-to-drug interactions. But it doesn’t stop there. In its most recent iteration, it can predict drug-to-food interactions as well.

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