

Scientists at Stanford Medicine built an AI system that can predict which experimental drugs are most likely to succeed, analyzing over 55,000 clinical trials to find patterns that could save years of research time.

The discovery could help bring life-saving treatments to patients faster while reducing costly drug development failures.

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