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Researchers pioneer quantum-embedded graph neural networks for breakthrough drug molecule prediction
In drug development, accurately predicting molecular properties is key to efficiently screening candidate drugs. Graph neural networks study drug molecules by treating atoms as "dots" and chemical ...
As momentum builds toward the highly anticipated GDAI 2025, DataGlobal Hub is proud to unveil what participants should expect ...
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