It takes millions, if not billions, of dollars to take a drug from the lab to the pharmacy. Last year out of thousands of drugs in clinical trials, the FDA approved 37, the fewest to pass regulatory scrutiny since 2016.
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Everywhere you look, everyone seems to be talking about AI. But it doesn’t just help write resumes and papers, AI is also changing the medical world. On average, it takes 10 years to develop a new drug. Now, a team at the University of Central Florida is aiming to speed up that process using an AI-based drug screening method they’ve developed.
It translates the complex interactions at each drug protein binding site into words. The AI model, then, analyzes that language to learn which part of a virus protein a drug will bind to. With 97% accuracy, it can predict how well a drug will work.
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