arXiv AI By Eliuvish Han Cui

Spending Scarce Confirmatory PET Measurements: Target-Aligned Validation in A4/LEARN

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The paper investigates how to allocate limited amyloid PET scans in Alzheimer’s research by comparing simple target‑aligned validation strategies to more complex uncertainty‑based sampling. Using the A4/LEARN PET archive, it shows that for the APOE4 carrier versus non‑carrier contrast, balancing scans by APOE4 status nearly matches the performance of a target‑specific scoring approach, while generic uncertainty sampling performs worse. For other analyses, such as age‑slope or cutoff‑indexed PET positivity, target‑specific scoring yields greater gains, underscoring that measurement allocation should align with the specific claim being validated.

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arXiv Machine Learning
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