Characterizing heterogeneity in Alzheimer’s disease progression: a semiparametric model

Characterizing heterogeneity in Alzheimer’s disease progression: a semiparametric model

Abstract The progression of Alzheimer’s disease (AD), a leading cause of dementia worldwide, is known for its variability and complexity, challenging the conventional methods of monitoring and predicting disease trajectories. This study introduces a semiparametric modeling approach to analyze longit...

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Bibliographic Details
Main Authors: Fatih Gelir, Suneel Babu Chatla, Md. Shenuarin Bhuiyan, Elizabeth A. Disbrow, Steven A. Conrad, John A. Vanchiere, Christopher G. Kevil, Emrah Gecili, Mohammad Alfrad Nobel Bhuiyan
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Alzheimer’s disease
Semiparametric modeling
Splines
ADAS13
Ventricular volumes
Cognitive decline
Online Access:https://doi.org/10.1038/s41598-025-92540-5
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https://doi.org/10.1038/s41598-025-92540-5

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