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Dataset Information

Alzheimer's disease Archimedes condition-event simulator: Development and validation.


ABSTRACT:

Introduction

Several advances have been made in Alzheimer's Disease (AD) modeling, however, there remains a need for a simulator that represents the full scope of disease progression and can be used to study new disease-modifying treatments for early-stage and even prodromal AD.

Methods

We developed AD Archimedes condition-event simulator, a patient-level simulator with a focus on simulating the effects of early interventions through changes in biomarkers of AD. The simulator incorporates interconnected predictive equations derived from longitudinal data sets.

Results

The results of external validations on AD Archimedes condition-event simulator showed that it provides reasonable estimates once compared to literature results on transition to dementia AD, institutional

SUBMITTER: Kansal AR 

PROVIDER: S-EPMC5910516 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature