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AI‐driven patient selection can drastically reduce sample sizes in Alzheimer's disease clinical trials
0
Zitationen
4
Autoren
2025
Jahr
Abstract
An AI-driven patient selection method can drastically reduce the sample size and cost of a trial by at least 20%, while maintaining statistical power, thereby accelerating therapeutic development by enabling more cost-effective trials.
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