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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