Machine Learning-Enhanced Screening Funnel for Clinical Trials in Alzheimer’s Disease

This article presents a novel, machine-learning enhanced method of screening for clinical trials, aiming to improve trial efficiency by identifying appropriate candidates for early phase clinical studies. The authors found that incorporating the method into trials (with maximized sensitivity/specificity optimization) could reduce the number of subjects required by 55%, shorten recruitment by 13 months, and reduce screening amyloid positron emission tomography scans by 72%.

Gladstein S, et al. Machine learning-enhanced screening funnel for clinical trials in Alzheimer's disease . Alzheimers Dement (NY). 2025 Apr 24;11(2):e70084. doi: 10.1002/trc2.70084.

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