Background The existing dementia risk models are limited to known risk factors and
traditional statistical methods. We aimed to employ machine learning (ML) to develop a …

Objectives This study aimed to explore the long-term cognitive trajectories and its'
determinants, and construct prediction models for identifying high-risk populations with …

Introduction Hippocampal atrophy is an established Alzheimer's Disease (AD) biomarker.
Volume loss in specific subregions as measurable with ultra-high field magnetic resonance …

Introduction We investigated the association between Alzheimer's disease (AD) and the risk
of cancer in the Chinese population. Methods In this retrospective cohort study, multivariate …

Neuroimaging markers based on Magnetic Resonance Imaging (MRI) combined with
various other measures (such as informative covariates, vascular risks, brain activity …

Background: Based on a longitudinal cohort design, the aim of this study was to investigate
whether individual-based 18 F fluorodeoxyglucose positron emission tomography (18 F …

Background Predicting amnestic mild cognitive impairment (aMCI) in conversion and
Alzheimer's disease (AD) remains a daunting task. Standard diagnostic procedures for AD …

Alzheimer's disease (AD) is the most common cause of dementia, and it is one of the leading
causes of death globally. Identification and validation of biomarkers that herald the onset …

Mild cognitive impairment (MCI) as a clinical entity was proposed by a research group led by
Dr Ronald Petersen in 1999 (Petersen, et al., 1999). MCI in terms of its etiology, pathology …