Future progression to Alzheimer's disease before diagnosis
Disease1 paper1 finding
- Humans1
Associations
1XGBoost model
upin silico1
1 study
XGBoost model
upin silico1
XGBoost model predicts future progression to Alzheimer's disease before diagnosis in silico (22.41% [21.36%–23.46%] of progressors detected before diagnosis; mean lead time 17.95 months [17.71–18.19]).
“detected future progression before diagnosis in 29.58% [28.29%-30.87%] of CN to MCI progressors and 22.41% [21.36%-23.46%] of MCI to AD progressors.”
In silicoNon-imputed data; mild cognitive impairment at baselineMean follow-up 42.7 months (range, 9.1–126.1)
Model forecasts Alzheimer's progression before diagnosis · medRxiv · 7 Oct 2026 · Preprint
Latest
1medRxivHumansPreprint
Model forecasts Alzheimer's progression before diagnosis
In 15,727 participants, a model detected decline before diagnosis in 22.41% of people progressing from mild cognitive impairment to Alzheimer's…In 15,727 participants, a model detected decline before diagnosis in 22.41% of people progressing from mild cognitive impairment to Alzheimer's disease.