Think of this as turning drug discovery and clinical research into a GPS-guided process instead of wandering with a paper map. AI systems comb through mountains of biological, chemical, and clinical data to suggest promising drug candidates, predict how they’ll behave, and flag risks earlier—so researchers test fewer dead ends in the lab.
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