Reducing Screen Failure Rates Due to Biomarker Cut‐offs in Early AD Trials with a Prognostic Model
Angela Tam, César Laurent, Christian Dansereau · 2025
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Description
Angela Tam, César Laurent, and Christian Dansereau tackle a costly problem in Alzheimer's trials in a 2025 paper. Many volunteers fail screening because their tau levels miss a strict cut-off. Each failed screen wastes time and money. The team tests a forecasting model that picks people likely to decline, without a hard tau line.
Working with data from amyloid-positive patients in a national study, they first measured failure rates under the tau rule. Then they compared that rule with their model, which uses gene status, age, test scores, and fluid markers. The model kept trial power while turning away fewer people. Smarter screening could fill trials faster and include a wider range of patients.
Catalog record
| CREATOR | Angela Tam, César Laurent, Christian Dansereau |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 3 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |